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2020 – today
- 2024
[j17]Aishan Liu
, Shiyu Tang, Xinyun Chen, Lei Huang, Haotong Qin, Xianglong Liu, Dacheng Tao:
Towards Defending Multiple ℓ p-Norm Bounded Adversarial Perturbations via Gated Batch Normalization. Int. J. Comput. Vis. 132(6): 1881-1898 (2024)- [j16]Jiakai Wang, Xianglong Liu, Zixin Yin, Yuxuan Wang, Jun Guo, Haotong Qin, Qingtao Wu, Aishan Liu:
Generate Transferable Adversarial Physical Camouflages via Triplet Attention Suppression. Int. J. Comput. Vis. 132(11): 5084-5100 (2024) - [j15]Simin Li, Huangxinxin Xu, Jiakai Wang, Ruixiao Xu, Aishan Liu, Fazhi He, Xianglong Liu, Dacheng Tao:
Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection. IEEE Trans. Image Process. 33: 2714-2729 (2024) - [j14]Zixin Yin, Jiakai Wang, Yisong Xiao, Hanqing Zhao, Tianlin Li, Wenbo Zhou, Aishan Liu, Xianglong Liu:
Improving Deepfake Detection Generalization by Invariant Risk Minimization. IEEE Trans. Multim. 26: 6785-6798 (2024) - [j13]Tianlin Li, Xiaofei Xie, Jian Wang, Qing Guo, Aishan Liu, Lei Ma, Yang Liu:
Faire: Repairing Fairness of Neural Networks via Neuron Condition Synthesis. ACM Trans. Softw. Eng. Methodol. 33(1): 21:1-21:24 (2024) - [c39]Siyuan Liang, Mingli Zhu, Aishan Liu, Baoyuan Wu, Xiaochun Cao, Ee-Chien Chang:
BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning. CVPR 2024: 24645-24654 - [c38]Simin Li, Jun Guo, Jingqiao Xiu, Ruixiao Xu, Xin Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu:
Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game. ICLR 2024 - [c37]Jiawei Liang, Siyuan Liang, Aishan Liu, Xiaojun Jia, Junhao Kuang, Xiaochun Cao:
Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection. ICLR 2024 - [c36]Tianlin Li, Yue Cao, Jian Zhang, Shiqian Zhao, Yihao Huang, Aishan Liu, Qing Guo, Yang Liu:
RUNNER: Responsible UNfair NEuron Repair for Enhancing Deep Neural Network Fairness. ICSE 2024: 9:1-9:13 - [c35]Xinwei Zhang, Aishan Liu, Tianyuan Zhang, Siyuan Liang, Xianglong Liu:
Towards Robust Physical-world Backdoor Attacks on Lane Detection. ACM Multimedia 2024: 5131-5140 - [c34]Tianyuan Zhang, Lu Wang, Hainan Li, Yisong Xiao, Siyuan Liang, Aishan Liu, Xianglong Liu, Dacheng Tao:
LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions. ACM Multimedia 2024: 5403-5412 - [c33]Zining Wang, Jinyang Guo, Ruihao Gong, Yang Yong, Aishan Liu, Yushi Huang, Jiaheng Liu, Xianglong Liu:
PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models. ACM Multimedia 2024: 5742-5751 - [c32]Haodi Wang, Kai Dong, Zhilei Zhu, Haotong Qin, Aishan Liu, Xiaolin Fang, Jiakai Wang, Xianglong Liu:
Transferable Multimodal Attack on Vision-Language Pre-training Models. SP 2024: 1722-1740 - [i47]Jiawei Liang, Siyuan Liang, Aishan Liu, Xiaojun Jia, Junhao Kuang, Xiaochun Cao:
Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection. CoRR abs/2402.11473 (2024) - [i46]Jiawei Liang, Siyuan Liang, Man Luo, Aishan Liu, Dongchen Han, Ee-Chien Chang, Xiaochun Cao:
VL-Trojan: Multimodal Instruction Backdoor Attacks against Autoregressive Visual Language Models. CoRR abs/2402.13851 (2024) - [i45]Xiaoxia Li, Siyuan Liang, Jiyi Zhang, Han Fang, Aishan Liu, Ee-Chien Chang:
Semantic Mirror Jailbreak: Genetic Algorithm Based Jailbreak Prompts Against Open-source LLMs. CoRR abs/2402.14872 (2024) - [i44]Siyuan Liang, Wei Wang, Ruoyu Chen, Aishan Liu, Boxi Wu, Ee-Chien Chang, Xiaochun Cao, Dacheng Tao:
Object Detectors in the Open Environment: Challenges, Solutions, and Outlook. CoRR abs/2403.16271 (2024) - [i43]Xinwei Zhang, Aishan Liu, Tianyuan Zhang, Siyuan Liang, Xianglong Liu:
Towards Robust Physical-world Backdoor Attacks on Lane Detection. CoRR abs/2405.05553 (2024) - [i42]Nhat Minh Chung, Sensen Gao, Tuan-Anh Vu, Jie Zhang, Aishan Liu, Yun Lin, Jin Song Dong, Qing Guo:
Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography. CoRR abs/2405.14169 (2024) - [i41]Tianyuan Zhang, Lu Wang, Hainan Li, Yisong Xiao, Siyuan Liang, Aishan Liu, Xianglong Liu, Dacheng Tao:
LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions. CoRR abs/2406.00934 (2024) - [i40]Zonghao Ying, Aishan Liu, Tianyuan Zhang, Zhengmin Yu, Siyuan Liang, Xianglong Liu, Dacheng Tao:
Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt. CoRR abs/2406.04031 (2024) - [i39]Zonghao Ying, Aishan Liu, Xianglong Liu, Dacheng Tao:
Unveiling the Safety of GPT-4o: An Empirical Study using Jailbreak Attacks. CoRR abs/2406.06302 (2024) - [i38]Siyuan Liang, Jiawei Liang, Tianyu Pang, Chao Du, Aishan Liu, Ee-Chien Chang, Xiaochun Cao:
Revisiting Backdoor Attacks against Large Vision-Language Models. CoRR abs/2406.18844 (2024) - [i37]Yisong Xiao, Aishan Liu, QianJia Cheng, Zhenfei Yin, Siyuan Liang, Jiapeng Li, Jing Shao, Xianglong Liu, Dacheng Tao:
GenderBias-VL: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing. CoRR abs/2407.00600 (2024) - [i36]Aishan Liu, Yuguang Zhou, Xianglong Liu, Tianyuan Zhang, Siyuan Liang, Jiakai Wang, Yanjun Pu, Tianlin Li, Junqi Zhang, Wenbo Zhou, Qing Guo, Dacheng Tao:
Compromising Embodied Agents with Contextual Backdoor Attacks. CoRR abs/2408.02882 (2024) - [i35]Kunsheng Tang, Wenbo Zhou, Jie Zhang, Aishan Liu, Gelei Deng, Shuai Li, Peigui Qi, Weiming Zhang, Tianwei Zhang, Nenghai Yu:
GenderCARE: A Comprehensive Framework for Assessing and Reducing Gender Bias in Large Language Models. CoRR abs/2408.12494 (2024) - [i34]Tianyuan Zhang, Lu Wang, Jiaqi Kang, Xinwei Zhang, Siyuan Liang, Yuwei Chen, Aishan Liu, Xianglong Liu:
Module-wise Adaptive Adversarial Training for End-to-end Autonomous Driving. CoRR abs/2409.07321 (2024) - 2023
- [j12]Jun Guo, Wei Bao, Jiakai Wang, Yuqing Ma, Xinghai Gao, Gang Xiao, Aishan Liu, Jian Dong, Xianglong Liu, Wenjun Wu:
A comprehensive evaluation framework for deep model robustness. Pattern Recognit. 137: 109308 (2023) - [j11]Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Aishan Liu, Dacheng Tao, Edwin R. Hancock:
Regionwise Generative Adversarial Image Inpainting for Large Missing Areas. IEEE Trans. Cybern. 53(8): 5226-5239 (2023) - [j10]Xiaowei Zhao, Xianglong Liu, Yuqing Ma, Shihao Bai, Yifan Shen, Zeyu Hao, Aishan Liu:
Temporal Speciation Network for Few-Shot Object Detection. IEEE Trans. Multim. 25: 8267-8278 (2023) - [j9]Zhihao Cheng, Liu Liu, Aishan Liu, Hao Sun, Meng Fang, Dacheng Tao:
On the Guaranteed Almost Equivalence Between Imitation Learning From Observation and Demonstration. IEEE Trans. Neural Networks Learn. Syst. 34(2): 677-689 (2023) - [j8]Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, Xianglong Liu:
RobustMQ: benchmarking robustness of quantized models. Vis. Intell. 1(1) (2023) - [c31]Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, Aishan Liu:
Improving Robust Fariness via Balance Adversarial Training. AAAI 2023: 15161-15169 - [c30]Aishan Liu, Shiyu Tang, Siyuan Liang, Ruihao Gong, Boxi Wu, Xianglong Liu, Dacheng Tao:
Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization. CVPR 2023: 4096-4107 - [c29]Simin Li, Shuning Zhang, Gujun Chen, Dong Wang, Pu Feng, Jiakai Wang, Aishan Liu, Xin Yi, Xianglong Liu:
Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks. CVPR 2023: 12324-12333 - [c28]Tianlin Li, Qing Guo, Aishan Liu, Mengnan Du, Zhiming Li, Yang Liu:
FAIRER: Fairness as Decision Rationale Alignment. ICML 2023: 19471-19489 - [c27]Tianlin Li, Zhiming Li, Anran Li, Mengnan Du, Aishan Liu, Qing Guo, Guozhu Meng, Yang Liu:
Fairness via Group Contribution Matching. IJCAI 2023: 436-445 - [c26]Yisong Xiao, Aishan Liu, Tianlin Li, Xianglong Liu:
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing. ISSTA 2023: 829-841 - [c25]Yan Wang, Yuhang Li, Ruihao Gong, Aishan Liu, Yanfei Wang, Jian Hu, Yongqiang Yao, Yunchen Zhang, Tianzi Xiao, Fengwei Yu, Xianglong Liu:
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency. MLSys 2023 - [c24]Xin Dong, Rui Wang, Siyuan Liang, Aishan Liu, Lihua Jing:
Face Encryption via Frequency-Restricted Identity-Agnostic Attacks. ACM Multimedia 2023: 579-588 - [c23]Jiawei Liang, Siyuan Liang, Aishan Liu, Ke Ma, Jingzhi Li, Xiaochun Cao:
Exploring Inconsistent Knowledge Distillation for Object Detection with Data Augmentation. ACM Multimedia 2023: 768-778 - [c22]Jun Guo, Xingyu Zheng, Aishan Liu, Siyuan Liang, Yisong Xiao, Yichao Wu, Xianglong Liu:
Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks. ACM Multimedia 2023: 4178-4189 - [c21]Aishan Liu, Jun Guo, Jiakai Wang, Siyuan Liang, Renshuai Tao, Wenbo Zhou, Cong Liu, Xianglong Liu, Dacheng Tao:
X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection. USENIX Security Symposium 2023: 3781-3798 - [i33]Simin Li, Jun Guo, Jingqiao Xiu, Pu Feng, Xin Yu, Jiakai Wang, Aishan Liu, Wenjun Wu, Xianglong Liu:
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence. CoRR abs/2302.03322 (2023) - [i32]Aishan Liu, Jun Guo, Jiakai Wang, Siyuan Liang, Renshuai Tao, Wenbo Zhou, Cong Liu, Xianglong Liu, Dacheng Tao:
X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection. CoRR abs/2302.09491 (2023) - [i31]Yisong Xiao, Aishan Liu, Tianlin Li, Xianglong Liu:
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing. CoRR abs/2305.11602 (2023) - [i30]Simin Li, Shuing Zhang, Gujun Chen, Dong Wang, Pu Feng, Jiakai Wang, Aishan Liu, Xin Yi, Xianglong Liu:
Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks. CoRR abs/2305.12863 (2023) - [i29]Simin Li, Jun Guo, Jingqiao Xiu, Xini Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu:
Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game. CoRR abs/2305.12872 (2023) - [i28]Tianlin Li, Qing Guo, Aishan Liu, Mengnan Du, Zhiming Li, Yang Liu:
FAIRER: Fairness as Decision Rationale Alignment. CoRR abs/2306.15299 (2023) - [i27]Yan Wang, Yuhang Li, Ruihao Gong, Aishan Liu, Yanfei Wang, Jian Hu, Yongqiang Yao, Yunchen Zhang, Tianzi Xiao, Fengwei Yu, Xianglong Liu:
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency. CoRR abs/2307.00280 (2023) - [i26]Jun Guo, Aishan Liu, Xingyu Zheng, Siyuan Liang, Yisong Xiao, Yichao Wu, Xianglong Liu:
Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks. CoRR abs/2308.00958 (2023) - [i25]Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, Xianglong Liu:
RobustMQ: Benchmarking Robustness of Quantized Models. CoRR abs/2308.02350 (2023) - [i24]Simin Li, Ruixiao Xu, Jun Guo, Pu Feng, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu, Weifeng Lv:
MIR2: Towards Provably Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization. CoRR abs/2310.09833 (2023) - [i23]Jiakai Wang, Donghua Wang, Jin Hu, Siyang Wu, Tingsong Jiang, Wen Yao, Aishan Liu, Xianglong Liu:
Adversarial Examples in the Physical World: A Survey. CoRR abs/2311.01473 (2023) - [i22]Aishan Liu, Xinwei Zhang, Yisong Xiao, Yuguang Zhou, Siyuan Liang, Jiakai Wang, Xianglong Liu, Xiaochun Cao, Dacheng Tao:
Pre-trained Trojan Attacks for Visual Recognition. CoRR abs/2312.15172 (2023) - 2022
- [j7]Aishan Liu, Huiyuan Xie, Xianglong Liu, Zixin Yin, Shunchang Liu:
Revisiting audio visual scene-aware dialog. Neurocomputing 496: 227-237 (2022) - [j6]Jiakai Wang, Aishan Liu, Xiao Bai, Xianglong Liu:
Universal Adversarial Patch Attack for Automatic Checkout Using Perceptual and Attentional Bias. IEEE Trans. Image Process. 31: 598-611 (2022) - [c20]Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao:
Harnessing Perceptual Adversarial Patches for Crowd Counting. CCS 2022: 2055-2069 - [c19]Jiakai Wang, Zixin Yin, Pengfei Hu, Aishan Liu, Renshuai Tao, Haotong Qin, Xianglong Liu, Dacheng Tao:
Defensive Patches for Robust Recognition in the Physical World. CVPR 2022: 2446-2455 - [c18]Renshuai Tao, Hainan Li, Tianbo Wang, Yanlu Wei, Yifu Ding, Bowei Jin, Hongping Zhi, Xianglong Liu, Aishan Liu:
Exploring Endogenous Shift for Cross-domain Detection: A Large-scale Benchmark and Perturbation Suppression Network. CVPR 2022: 21157-21167 - [c17]Haotong Qin, Yifu Ding, Mingyuan Zhang, Qinghua Yan, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu:
BiBERT: Accurate Fully Binarized BERT. ICLR 2022 - [c16]Renshuai Tao, Tianbo Wang, Ziyang Wu, Cong Liu, Aishan Liu, Xianglong Liu:
Few-shot X-ray Prohibited Item Detection: A Benchmark and Weak-feature Enhancement Network. ACM Multimedia 2022: 2012-2020 - [c15]Siyuan Liang, Aishan Liu, Jiawei Liang, Longkang Li, Yang Bai, Xiaochun Cao:
Imitated Detectors: Stealing Knowledge of Black-box Object Detectors. ACM Multimedia 2022: 4839-4847 - [c14]Yuxuan Wang, Jiakai Wang, Zixin Yin, Ruihao Gong, Jingyi Wang, Aishan Liu, Xianglong Liu:
Generating Transferable Adversarial Examples against Vision Transformers. ACM Multimedia 2022: 5181-5190 - [i21]Haotong Qin, Yifu Ding, Mingyuan Zhang, Qinghua Yan, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu:
BiBERT: Accurate Fully Binarized BERT. CoRR abs/2203.06390 (2022) - [i20]Jiakai Wang, Zixin Yin, Pengfei Hu, Aishan Liu, Renshuai Tao, Haotong Qin, Xianglong Liu, Dacheng Tao:
Defensive Patches for Robust Recognition in the Physical World. CoRR abs/2204.06213 (2022) - [i19]Simin Li, Huangxinxin Xu, Jiakai Wang, Aishan Liu, Fazhi He, Xianglong Liu, Dacheng Tao:
Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection. CoRR abs/2208.10688 (2022) - [i18]Yuhang Wang, Huafeng Shi, Rui Min, Ruijia Wu, Siyuan Liang, Yichao Wu, Ding Liang, Aishan Liu:
Adaptive Perturbation Generation for Multiple Backdoors Detection. CoRR abs/2209.05244 (2022) - [i17]Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, Aishan Liu:
Improving Robust Fairness via Balance Adversarial Training. CoRR abs/2209.07534 (2022) - [i16]Jiawei Liang, Siyuan Liang, Aishan Liu, Mingli Zhu, Danni Yuan, Chenye Xu, Xiaochun Cao:
Rethinking Data Augmentation in Knowledge Distillation for Object Detection. CoRR abs/2209.09841 (2022) - [i15]Shiyu Tang, Siyuan Liang, Ruihao Gong, Aishan Liu, Xianglong Liu, Dacheng Tao:
Exploring the Relationship between Architecture and Adversarially Robust Generalization. CoRR abs/2209.14105 (2022) - 2021
- [j5]Tianlin Li, Aishan Liu, Xianglong Liu, Yitao Xu, Chongzhi Zhang, Xiaofei Xie:
Understanding adversarial robustness via critical attacking route. Inf. Sci. 547: 568-578 (2021) - [j4]Yan Wu, Jiaxin Fan, Renshuai Tao, Jiakai Wang, Haotong Qin, Aishan Liu, Xianglong Liu:
Sequential alignment attention model for scene text recognition. J. Vis. Commun. Image Represent. 80: 103289 (2021) - [j3]Chongzhi Zhang, Aishan Liu, Xianglong Liu, Yitao Xu, Hang Yu, Yuqing Ma, Tianlin Li:
Interpreting and Improving Adversarial Robustness of Deep Neural Networks With Neuron Sensitivity. IEEE Trans. Image Process. 30: 1291-1304 (2021) - [j2]Aishan Liu, Xianglong Liu, Hang Yu, Chongzhi Zhang, Qiang Liu, Dacheng Tao:
Training Robust Deep Neural Networks via Adversarial Noise Propagation. IEEE Trans. Image Process. 30: 5769-5781 (2021) - [j1]Hang Yu, Aishan Liu, Gengchao Li, Jichen Yang, Chongzhi Zhang:
Progressive Diversified Augmentation for General Robustness of DNNs: A Unified Approach. IEEE Trans. Image Process. 30: 8955-8967 (2021) - [c13]Yongjun Qie, Huanhuan Shen, Aishan Liu:
A Deep Learning and Ontology Based Framework for Textual Requirements Analysis and Conceptual Model Generation. CSDM Asia / CSDM 2021: 3-14 - [c12]Huanhuan Shen, Weijie Zhu, Aishan Liu:
Boost System of Systems Modeling via UPDM: A Case Study from Air Traffic Management. CSDM Asia / CSDM 2021: 189-201 - [c11]Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, Xianglong Liu:
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World. CVPR 2021: 8565-8574 - [c10]Shan An, Guangfu Che, Jinghao Guo, Haogang Zhu, Junjie Ye, Fangru Zhou, Zhaoqi Zhu, Dong Wei, Aishan Liu, Wei Zhang:
ARShoe: Real-Time Augmented Reality Shoe Try-on System on Smartphones. ACM Multimedia 2021: 1111-1119 - [c9]Aishan Liu, Xinyun Chen, Yingwei Li, Chaowei Xiao, Xun Yang, Xianglong Liu, Dawn Song, Dacheng Tao, Alan L. Yuille, Anima Anandkumar:
ADVM'21: 1st International Workshop on Adversarial Learning for Multimedia. ACM Multimedia 2021: 5686-5687 - [e1]Dawn Song, Dacheng Tao, Alan L. Yuille, Anima Anandkumar, Aishan Liu, Xinyun Chen, Yingwei Li, Chaowei Xiao, Xun Yang, Xianglong Liu:
ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, Virtual Event, China, 20 October 2021. ACM 2021, ISBN 978-1-4503-8672-2 [contents] - [i14]Aishan Liu, Xianglong Liu, Jun Guo, Jiakai Wang, Yuqing Ma, Ze Zhao, Xinghai Gao, Gang Xiao:
A Comprehensive Evaluation Framework for Deep Model Robustness. CoRR abs/2101.09617 (2021) - [i13]Renshuai Tao, Yanlu Wei, Hainan Li, Aishan Liu, Yifu Ding, Haotong Qin, Xianglong Liu:
Over-sampling De-occlusion Attention Network for Prohibited Items Detection in Noisy X-ray Images. CoRR abs/2103.00809 (2021) - [i12]Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, Xianglong Liu:
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World. CoRR abs/2103.01050 (2021) - [i11]Shan An, Guangfu Che, Jinghao Guo, Haogang Zhu, Junjie Ye, Fangru Zhou, Zhaoqi Zhu, Dong Wei, Aishan Liu, Wei Zhang:
ARShoe: Real-Time Augmented Reality Shoe Try-on System on Smartphones. CoRR abs/2108.10515 (2021) - [i10]Shiyu Tang, Ruihao Gong, Yan Wang, Aishan Liu, Jiakai Wang, Xinyun Chen, Fengwei Yu, Xianglong Liu, Dawn Song, Alan L. Yuille, Philip H. S. Torr, Dacheng Tao:
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques. CoRR abs/2109.05211 (2021) - [i9]Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao:
Harnessing Perceptual Adversarial Patches for Crowd Counting. CoRR abs/2109.07986 (2021) - 2020
- [c8]Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, Dacheng Tao:
Spatiotemporal Attacks for Embodied Agents. ECCV (17) 2020: 122-138 - [c7]Aishan Liu, Jiakai Wang, Xianglong Liu, Bowen Cao, Chongzhi Zhang, Hang Yu:
Bias-Based Universal Adversarial Patch Attack for Automatic Check-Out. ECCV (13) 2020: 395-410 - [c6]Yuqing Ma, Shihao Bai, Shan An, Wei Liu, Aishan Liu, Xiantong Zhen, Xianglong Liu:
Transductive Relation-Propagation Network for Few-shot Learning. IJCAI 2020: 804-810 - [c5]Yuqing Ma, Wei Liu, Shihao Bai, Qingyu Zhang, Aishan Liu, Weimin Chen, Xianglong Liu:
Few-shot Visual Learning with Contextual Memory and Fine-grained Calibration. IJCAI 2020: 811-817 - [c4]Maryam Zare, Ali Ayub, Aishan Liu, Sweekar Sudhakara, Albert F. Wagner, Rebecca J. Passonneau:
Dialogue Policies for Learning Board Games through Multimodal Communication. SIGdial 2020: 339-351 - [i8]Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, Dacheng Tao:
Adversarial Attacks for Embodied Agents. CoRR abs/2005.09161 (2020) - [i7]Aishan Liu, Jiakai Wang, Xianglong Liu, Chongzhi Zhang, Bowen Cao, Hang Yu:
Patch Attack for Automatic Check-out. CoRR abs/2005.09257 (2020) - [i6]Zhihao Cheng, Liu Liu, Aishan Liu, Hao Sun, Meng Fang, Dacheng Tao:
On the Guaranteed Almost Equivalence between Imitation Learning from Observation and Demonstration. CoRR abs/2010.08353 (2020) - [i5]Aishan Liu, Shiyu Tang, Xianglong Liu, Xinyun Chen, Lei Huang, Zhuozhuo Tu, Dawn Song, Dacheng Tao:
Towards Defending Multiple Adversarial Perturbations via Gated Batch Normalization. CoRR abs/2012.01654 (2020)
2010 – 2019
- 2019
- [c3]Aishan Liu, Xianglong Liu, Jiaxin Fan, Yuqing Ma, Anlan Zhang, Huiyuan Xie, Dacheng Tao:
Perceptual-Sensitive GAN for Generating Adversarial Patches. AAAI 2019: 1028-1035 - [c2]Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Dailan He, Aishan Liu:
Coarse-to-Fine Image Inpainting via Region-wise Convolutions and Non-Local Correlation. IJCAI 2019: 3123-3129 - [i4]Hang Yu, Aishan Liu, Xianglong Liu, Jichen Yang, Chongzhi Zhang:
Towards Noise-Robust Neural Networks via Progressive Adversarial Training. CoRR abs/1909.04839 (2019) - [i3]Chongzhi Zhang, Aishan Liu, Xianglong Liu, Yitao Xu, Hang Yu, Yuqing Ma, Tianlin Li:
Interpreting and Improving Adversarial Robustness with Neuron Sensitivity. CoRR abs/1909.06978 (2019) - [i2]Aishan Liu, Xianglong Liu, Chongzhi Zhang, Hang Yu, Qiang Liu, Junfeng He:
Training Robust Deep Neural Networks via Adversarial Noise Propagation. CoRR abs/1909.09034 (2019) - [i1]Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Aishan Liu, Dacheng Tao, Edwin R. Hancock:
Region-wise Generative Adversarial ImageInpainting for Large Missing Areas. CoRR abs/1909.12507 (2019) - 2015
- [c1]Aishan Liu, Li Li, Jie Luo:
Automated Program Debugging for Multiple Bugs Based on Semantic Analysis. SOFL+MSVL 2015: 86-100
Coauthor Index
[j17] [j16] [j15] [j14] [c38] [c35] [c34] [c33] [c32] [i43] [i41] [i40] [i39] [i37] [i36] [i34] [j12] [j11] [j10] [j8] [c31] [c30] [c29] [c26] [c25] [c22] [c21] [i33] [i32] [i31] [i30] [i29] [i27] [i26] [i25] [i24] [i23] [i22] [j7] [j6] [c20] [c19] [c18] [c17] [c16] [c14] [i21] [i20] [i19] [i17] [i15] [j5] [j4] [j3] [j2] [c11] [c9] [e1] [i14] [i13] [i12] [i10] [i9] [c8] [c7] [c6] [c5] [i8] [i7] [i5] [c3] [c2] [i4] [i3] [i2] [i1]
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Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-08 21:27 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
