Aishan Liu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 94

Top Topics

Object Detectors

Requirements Analysis

Top Venues

IEEE Trans. Image Process.

Publications

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 (2024)
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 (2024)
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 (2024)
Jiawei Liang, Siyuan Liang, Aishan Liu, Xiaojun Jia, Junhao Kuang, Xiaochun Cao
Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection. CoRR (2024)
Aishan Liu, Shiyu Tang, Xinyun Chen, Lei Huang, Haotong Qin, Xianglong Liu, Dacheng Tao
-Norm Bounded Adversarial Perturbations via Gated Batch Normalization. Int. J. Comput. Vis. 132 (6) (2024)
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)
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 (2024)
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 (2024)
Zonghao Ying, Aishan Liu, Tianyuan Zhang, Zhengmin Yu, Siyuan Liang, Xianglong Liu, Dacheng Tao
Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt. CoRR (2024)
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 (2024)
Siyuan Liang, Jiawei Liang, Tianyu Pang, Chao Du, Aishan Liu, Ee-Chien Chang, Xiaochun Cao
Revisiting Backdoor Attacks against Large Vision-Language Models. CoRR (2024)
Jiawei Liang, Siyuan Liang, Aishan Liu, Xiaojun Jia, Junhao Kuang, Xiaochun Cao
Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection. ICLR (2024)
Xinwei Zhang, Aishan Liu, Tianyuan Zhang, Siyuan Liang, Xianglong Liu
Towards Robust Physical-world Backdoor Attacks on Lane Detection. CoRR (2024)
Zonghao Ying, Aishan Liu, Xianglong Liu, Dacheng Tao
Unveiling the Safety of GPT-4o: An Empirical Study using Jailbreak Attacks. CoRR (2024)
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)
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 (2024)
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 (2024)
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) (2024)
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)
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)
Tianlin Li, Qing Guo, Aishan Liu, Mengnan Du, Zhiming Li, Yang Liu
FAIRER: Fairness as Decision Rationale Alignment. CoRR (2023)
Siyuan Liang, Mingli Zhu, Aishan Liu, Baoyuan Wu, Xiaochun Cao, Ee-Chien Chang
BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning. CoRR (2023)
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 (2023)
Yisong Xiao, Aishan Liu, Tianlin Li, Xianglong Liu
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing. ISSTA (2023)
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 (2023)
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)
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) (2023)
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)
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)
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 (2023)
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)
Tianlin Li, Qing Guo, Aishan Liu, Mengnan Du, Zhiming Li, Yang Liu
FAIRER: Fairness as Decision Rationale Alignment. ICML (2023)
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 (2023)
Tianlin Li, Zhiming Li, Anran Li, Mengnan Du, Aishan Liu, Qing Guo, Guozhu Meng, Yang Liu
Fairness via Group Contribution Matching. IJCAI (2023)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
Xin Dong, Rui Wang, Siyuan Liang, Aishan Liu, Lihua Jing
Face Encryption via Frequency-Restricted Identity-Agnostic Attacks. ACM Multimedia (2023)
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 (2023)
Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, Xianglong Liu
RobustMQ: benchmarking robustness of quantized models. Vis. Intell. 1 (1) (2023)
Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, Xianglong Liu
RobustMQ: Benchmarking Robustness of Quantized Models. CoRR (2023)
Yisong Xiao, Aishan Liu, Tianlin Li, Xianglong Liu
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing. CoRR (2023)
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 (2023)
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)
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) (2023)
Haotong Qin, Yifu Ding, Mingyuan Zhang, Qinghua Yan, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu
BiBERT: Accurate Fully Binarized BERT. CoRR (2022)
Yuhang Wang, Huafeng Shi, Rui Min, Ruijia Wu, Siyuan Liang, Yichao Wu, Ding Liang, Aishan Liu
Adaptive Perturbation Generation for Multiple Backdoors Detection. CoRR (2022)
Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, Aishan Liu
Improving Robust Fairness via Balance Adversarial Training. CoRR (2022)
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)
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 (2022)
Siyuan Liang, Aishan Liu, Jiawei Liang, Longkang Li, Yang Bai, Xiaochun Cao
Imitated Detectors: Stealing Knowledge of Black-box Object Detectors. ACM Multimedia (2022)
Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao
Harnessing Perceptual Adversarial Patches for Crowd Counting. CCS (2022)
Shiyu Tang, Siyuan Liang, Ruihao Gong, Aishan Liu, Xianglong Liu, Dacheng Tao
Exploring the Relationship between Architecture and Adversarially Robust Generalization. CoRR (2022)
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 (2022)
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)
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)
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 (2022)
Aishan Liu, Huiyuan Xie, Xianglong Liu, Zixin Yin, Shunchang Liu
Revisiting audio visual scene-aware dialog. Neurocomputing 496 (2022)
Haotong Qin, Yifu Ding, Mingyuan Zhang, Qinghua Yan, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu
BiBERT: Accurate Fully Binarized BERT. ICLR (2022)
Jiawei Liang, Siyuan Liang, Aishan Liu, Mingli Zhu, Danni Yuan, Chenye Xu, Xiaochun Cao
Rethinking Data Augmentation in Knowledge Distillation for Object Detection. CoRR (2022)
Yuxuan Wang, Jiakai Wang, Zixin Yin, Ruihao Gong, Jingyi Wang, Aishan Liu, Xianglong Liu
Generating Transferable Adversarial Examples against Vision Transformers. ACM Multimedia (2022)
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 (2021)
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 (2021)
Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, Xianglong Liu
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World. CoRR (2021)
Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao
Harnessing Perceptual Adversarial Patches for Crowd Counting. CoRR (2021)
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 (2021)
Tianlin Li, Aishan Liu, Xianglong Liu, Yitao Xu, Chongzhi Zhang, Xiaofei Xie
Understanding adversarial robustness via critical attacking route. Inf. Sci. 547 (2021)
Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, Xianglong Liu
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World. CVPR (2021)
Huanhuan Shen, Weijie Zhu, Aishan Liu
Boost System of Systems Modeling via UPDM: A Case Study from Air Traffic Management. CSDM Asia / CSDM (2021)
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 (2021)
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)
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)
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)
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 (2021)
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 (2021)
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 (2021)
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 (2021)
Aishan Liu, Jiakai Wang, Xianglong Liu, Chongzhi Zhang, Bowen Cao, Hang Yu
Patch Attack for Automatic Check-out. CoRR (2020)
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)
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)
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)
Yuqing Ma, Shihao Bai, Shan An, Wei Liu, Aishan Liu, Xiantong Zhen, Xianglong Liu
Transductive Relation-Propagation Network for Few-shot Learning. IJCAI (2020)
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 (2020)
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 (2020)
Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, Dacheng Tao
Adversarial Attacks for Embodied Agents. CoRR (2020)
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)
Aishan Liu, Xianglong Liu, Chongzhi Zhang, Hang Yu, Qiang Liu, Junfeng He
Training Robust Deep Neural Networks via Adversarial Noise Propagation. CoRR (2019)
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)
Chongzhi Zhang, Aishan Liu, Xianglong Liu, Yitao Xu, Hang Yu, Yuqing Ma, Tianlin Li
Interpreting and Improving Adversarial Robustness with Neuron Sensitivity. CoRR (2019)
Aishan Liu, Xianglong Liu, Jiaxin Fan, Yuqing Ma, Anlan Zhang, Huiyuan Xie, Dacheng Tao
Perceptual-Sensitive GAN for Generating Adversarial Patches. AAAI (2019)
Hang Yu, Aishan Liu, Xianglong Liu, Jichen Yang, Chongzhi Zhang
Towards Noise-Robust Neural Networks via Progressive Adversarial Training. CoRR (2019)
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 (2019)
Aishan Liu, Li Li, Jie Luo
Automated Program Debugging for Multiple Bugs Based on Semantic Analysis. SOFL+MSVL (2015)