Training Robust Deep Neural Networks via Adversarial Noise Propagation

19 September 2019

Xianglong Liu

Papers citing "Training Robust Deep Neural Networks via Adversarial Noise Propagation"

20 / 20 papers shown

Title
T2VShield: Model-Agnostic Jailbreak Defense for Text-to-Video Models Siyuan Liang Jiayang Liu Jiecheng Zhai Tianmeng Fang Rongcheng Tu A. Liu Xiaochun Cao Dacheng Tao VGen 58 0 0 22 Apr 2025
Manipulating Multimodal Agents via Cross-Modal Prompt Injection Le Wang Zonghao Ying Tianyuan Zhang Siyuan Liang Shengshan Hu Mingchuan Zhang A. Liu Xianglong Liu AAML 31 1 0 19 Apr 2025
Towards Understanding the Safety Boundaries of DeepSeek Models: Evaluation and Findings Zonghao Ying Guangyi Zheng Yongxin Huang Deyue Zhang Wenxin Zhang Quanchen Zou Aishan Liu X. Liu Dacheng Tao ELM 74 6 0 19 Mar 2025
Adversarial Training for Multimodal Large Language Models against Jailbreak Attacks Liming Lu Shuchao Pang Siyuan Liang Haotian Zhu Xiyu Zeng Aishan Liu Yunhuai Liu Yongbin Zhou AAML 51 1 0 05 Mar 2025
Uncertainty Quantification With Noise Injection in Neural Networks: A Bayesian Perspective Xueqiong Yuan Jipeng Li E. Kuruoglu UQCV BDL 45 0 0 21 Jan 2025
$GenderBias-\emph{VL}: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing$ GenderBias-\emph{VL}: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing Yisong Xiao Aishan Liu QianJia Cheng Zhenfei Yin Siyuan Liang Jiapeng Li Jing Shao Xianglong Liu Dacheng Tao 36 4 0 30 Jun 2024
Towards Robust Physical-world Backdoor Attacks on Lane Detection Xinwei Zhang Aishan Liu Tianyuan Zhang Siyuan Liang Xianglong Liu AAML 47 10 0 09 May 2024
Face Encryption via Frequency-Restricted Identity-Agnostic Attacks Xinjie Dong Rui Wang Siyuan Liang Aishan Liu Lihua Jing AAML PICV 24 8 0 11 Aug 2023
Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks Jun Guo Aishan Liu Xingyu Zheng Siyuan Liang Yisong Xiao Yichao Wu Xianglong Liu AAML 30 12 0 02 Aug 2023
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency Yan Wang Yuhang Li Ruihao Gong Aishan Liu Yanfei Wang ... Yongqiang Yao Yunchen Zhang Tianzi Xiao F. Yu Xianglong Liu AAML 32 0 0 01 Jul 2023
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing Yisong Xiao Aishan Liu Tianlin Li Xianglong Liu 22 26 0 19 May 2023
Benchmarking the Robustness of Quantized Models Yisong Xiao Tianyuan Zhang Shunchang Liu Haotong Qin AAML MQ 25 2 0 08 Apr 2023
BiBench: Benchmarking and Analyzing Network Binarization Haotong Qin Mingyuan Zhang Yifu Ding Aoyu Li Zhongang Cai Ziwei Liu F. I. F. Richard Yu Xianglong Liu MQ AAML 22 36 0 26 Jan 2023
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion Zixiang Zhao Hao Bai Jiangshe Zhang Yulun Zhang Shuang Xu Zudi Lin Radu Timofte Luc Van Gool 29 309 0 26 Nov 2022
Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection Simin Li Huangxinxin Xu Jiakai Wang Aishan Liu Fazhi He Xianglong Liu Dacheng Tao AAML 11 5 0 23 Aug 2022
Towards Comprehensive Testing on the Robustness of Cooperative Multi-agent Reinforcement Learning Jun Guo Yonghong Chen Yihang Hao Zixin Yin Yin Yu Simin Li AAML 25 32 0 17 Apr 2022
Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training Alfred Laugros A. Caplier Matthieu Ospici AAML 14 19 0 19 Aug 2020
Binary Neural Networks: A Survey Haotong Qin Ruihao Gong Xianglong Liu Xiao Bai Jingkuan Song N. Sebe MQ 34 457 0 31 Mar 2020
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 258 3,109 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 272 5,833 0 08 Jul 2016