Aishan Liu（刘艾杉）
Beihang University
H-index: 18
Asia-China
Top articles of Aishan Liu（刘艾杉）
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Transferable Multimodal Attack on Vision-Language Pre-training Models | Haodi Wang Kai Dong Zhilei Zhu Haotong Qin Aishan Liu | 2024/2/1 | |
Object Detectors in the Open Environment: Challenges, Solutions, and Outlook | Siyuan Liang Wei Wang Ruoyu Chen Aishan Liu Boxi Wu | 2024/3/24 | |
Improving Deepfake Detection Generalization by Invariant Risk Minimization | IEEE Transactions on Multimedia | Zixin Yin Jiakai Wang Yisong Xiao Hanqing Zhao Tianlin Li | 2024/1/19 |
Semantic Mirror Jailbreak: Genetic Algorithm Based Jailbreak Prompts Against Open-source LLMs | arXiv preprint arXiv:2402.14872 | Xiaoxia Li Siyuan Liang Jiyi Zhang Han Fang Aishan Liu | 2024/2/21 |
VL-Trojan: Multimodal Instruction Backdoor Attacks against Autoregressive Visual Language Models | arXiv preprint arXiv:2402.13851 | Jiawei Liang Siyuan Liang Man Luo Aishan Liu Dongchen Han | 2024/2/21 |
Poisoned forgery face: Towards backdoor attacks on face forgery detection | arXiv preprint arXiv:2402.11473 | Jiawei Liang Siyuan Liang Aishan Liu Xiaojun Jia Junhao Kuang | 2024/2/18 |
RUNNER: Responsible UNfair NEuron Repair for Enhancing Deep Neural Network Fairness | Tianlin Li Yue Cao Jian Zhang Shiqian Zhao Yihao Huang | 2024/2/6 | |
Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection | IEEE Transactions on Image Processing | Simin Li Huangxinxin Xu Jiakai Wang Ruixiao Xu Aishan Liu | 2024/4/1 |
Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game | arXiv preprint arXiv:2305.12872 | Simin Li Jun Guo Jingqiao Xiu Xini Yu Jiakai Wang | 2023/5/22 |
MIR2: Towards Provably Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization | arXiv preprint arXiv:2310.09833 | Simin Li Ruixiao Xu Jun Guo Pu Feng Jiakai Wang | 2023/10/15 |
Temporal speciation network for few-shot object detection | IEEE Transactions on Multimedia | Xiaowei Zhao Xianglong Liu Yuqing Ma Shihao Bai Yifan Shen | 2023/1/5 |
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing | Yisong Xiao Aishan Liu Tianlin Li Xianglong Liu | 2023/7/12 | |
Badclip: Dual-embedding guided backdoor attack on multimodal contrastive learning | arXiv preprint arXiv:2311.12075 | Siyuan Liang Mingli Zhu Aishan Liu Baoyuan Wu Xiaochun Cao | 2023/11/20 |
Adversarial Instance Attacks for Interactions between Human and Object | Liang Muxue Chuan Wang Siyuan Liang Aishan Liu Zeming Liu | 2023/10/13 | |
Towards benchmarking and assessing visual naturalness of physical world adversarial attacks | Simin Li Shuning Zhang Gujun Chen Dong Wang Pu Feng | 2023 | |
A comprehensive evaluation framework for deep model robustness | Pattern Recognition | Jun Guo Wei Bao Jiakai Wang Yuqing Ma Xinghai Gao | 2023/5/1 |
Adversarial Examples in the Physical World: A Survey | arXiv preprint arXiv:2311.01473 | Jiakai Wang Donghua Wang Jin Hu Siyang Wu Tingsong Jiang | 2023/11/1 |
Fairness via group contribution matching | Tianlin Li Zhiming Li Anran Li Mengnan Du Aishan Liu | 2023/8/19 | |
Pre-trained trojan attacks for visual recognition | arXiv preprint arXiv:2312.15172 | Aishan Liu Xinwei Zhang Yisong Xiao Yuguang Zhou Siyuan Liang | 2023/12/23 |
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency | Proceedings of Machine Learning and Systems | Yan Wang Yuhang Li Ruihao Gong Aishan Liu Jian Hu | 2023/3/18 |
Co-Authors
