Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

17 August 2019

Papers citing "Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks"

50 / 284 papers shown

Title
Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples Jian-Wei Li Wen-Ze Shao AAML 31 0 0 06 May 2025
How to Backdoor the Knowledge Distillation C. Wu Qian Ma P. Mitra Sencun Zhu AAML 32 0 0 30 Apr 2025
Unveiling and Mitigating Adversarial Vulnerabilities in Iterative Optimizers Elad Sofer Tomer Shaked Caroline Chaux Nir Shlezinger AAML 45 0 0 26 Apr 2025
A Simple DropConnect Approach to Transfer-based Targeted Attack Tongrui Su Qingbin Li Shengyu Zhu Wei Chen Xueqi Cheng AAML 69 0 0 24 Apr 2025
Seeking Flat Minima over Diverse Surrogates for Improved Adversarial Transferability: A Theoretical Framework and Algorithmic Instantiation Meixi Zheng Kehan Wu Yanbo Fan Rui Huang Baoyuan Wu AAML 37 0 0 23 Apr 2025
Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation Yi Yu Song Xia Xun Lin Chenqi Kong Wenhan Yang Shijian Lu Yap-Peng Tan Alex C. Kot AAML SILM 145 0 0 20 Apr 2025
Rethinking Target Label Conditioning in Adversarial Attacks: A 2D Tensor-Guided Generative Approach Hangyu Liu Bo Peng Pengxiang Ding Donglin Wang AAML 28 0 0 19 Apr 2025
The Sword of Damocles in ViTs: Computational Redundancy Amplifies Adversarial Transferability Jiani Liu Zhiyuan Wang Zeliang Zhang Chao Huang Susan Liang Yunlong Tang Chenliang Xu AAML 39 0 0 15 Apr 2025
On Transfer-based Universal Attacks in Pure Black-box Setting M. Jalwana Naveed Akhtar Ajmal Saeed Mian Nazanin Rahnavard Mubarak Shah AAML 31 0 0 11 Apr 2025
Enabling Heterogeneous Adversarial Transferability via Feature Permutation Attacks Tao Wu Tie Luo AAML 89 0 0 26 Mar 2025
Robust Deep Reinforcement Learning in Robotics via Adaptive Gradient-Masked Adversarial Attacks Zongyuan Zhang Tianyang Duan Zheng Lin Dong Huang Zihan Fang ... Ling Xiong Hongbin Liang Heming Cui Yong Cui Yue Gao AAML 53 2 0 26 Mar 2025
State-Aware Perturbation Optimization for Robust Deep Reinforcement Learning Zongyuan Zhang Tianyang Duan Zheng Lin Dong Huang Zihan Fang Zekai Sun Ling Xiong Hongbin Liang Heming Cui Yong Cui AAML 82 1 0 26 Mar 2025
Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement Yuchen Ren Zhengyu Zhao Chenhao Lin Bo Yang Lu Zhou Zhe Liu Chao Shen ViT 47 0 0 19 Mar 2025
Boosting the Local Invariance for Better Adversarial Transferability Bohan Liu Xiaosen Wang AAML 65 0 0 08 Mar 2025
Scale-Invariant Adversarial Attack against Arbitrary-scale Super-resolution Yihao Huang Xin Luo Qing Guo Felix Juefei-Xu Xiaojun Jia Weikai Miao G. Pu Yang Liu 52 1 0 06 Mar 2025
Improving the Transferability of Adversarial Attacks by an Input Transpose Qing Wan Shilong Deng Xun Wang AAML 36 0 0 02 Mar 2025
Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior Chanhui Lee Yeonghwan Song Jeany Son AAML 138 0 0 28 Feb 2025
Improving Adversarial Transferability in MLLMs via Dynamic Vision-Language Alignment Attack Chenhe Gu Jindong Gu Andong Hua Yao Qin AAML 42 0 0 27 Feb 2025
Improving the Transferability of Adversarial Examples by Inverse Knowledge Distillation Wenyuan Wu Zheng Liu Yong Chen Chao Su Dezhong Peng Xu Wang AAML 37 0 0 24 Feb 2025
PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-Regression AdvGAN Jiayu Zhang Zhiyu Zhu Xinyi Wang Silin Liao Zhibo Jin Flora Salim Huaming Chen GAN 52 0 0 16 Feb 2025
Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via In-the-wild Cascading Flow Optimization Yixiao Chen Shikun Sun Jianshu Li Ruoyu Li Zhe Li Junliang Xing AAML 106 0 0 04 Feb 2025
Enhancing Adversarial Transferability via Component-Wise Transformation Hangyu Liu Bo Peng Pengxiang Ding Donglin Wang Donglin Wang AAML 52 0 0 21 Jan 2025
Cross-Modal Transferable Image-to-Video Attack on Video Quality Metrics Georgii Gotin E. Shumitskaya Anastasia Antsiferova D. Vatolin AAML 40 0 0 14 Jan 2025
Transferable Adversarial Examples with Bayes Approach Mingyuan Fan Cen Chen Ximeng Liu Wenzhong Guo AAML 63 1 0 08 Jan 2025
Region-Guided Attack on the Segment Anything Model (SAM) Xiaoliang Liu F. Shen Jian Zhao AAML 28 0 0 03 Jan 2025
Boosting Adversarial Transferability with Spatial Adversarial Alignment Zhaoyu Chen Haijing Guo Kaixun Jiang Jiyuan Fu Xinyu Zhou Dingkang Yang H. Tang Bo-wen Li Wenqiang Zhang AAML 38 0 0 03 Jan 2025
Image-based Multimodal Models as Intruders: Transferable Multimodal Attacks on Video-based MLLMs Linhao Huang Xue Jiang Zhiqiang Wang Wentao Mo Xi Xiao Bo Han Yongjie Yin Feng Zheng AAML 51 2 0 02 Jan 2025
Two Heads Are Better Than One: Averaging along Fine-Tuning to Improve Targeted Transferability Hui Zeng Sanshuai Cui Biwei Chen Anjie Peng AAML 37 0 0 31 Dec 2024
Attribution for Enhanced Explanation with Transferable Adversarial eXploration Zhiyu Zhu Jiayu Zhang Zhibo Jin Huaming Chen Jianlong Zhou Fang Chen AAML ViT 38 0 0 27 Dec 2024
AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF Models Tommy Nguyen Mehmet Ergezer Christian Green 76 0 0 18 Dec 2024
PGD-Imp: Rethinking and Unleashing Potential of Classic PGD with Dual Strategies for Imperceptible Adversarial Attacks Jin Li Zitong Yu Ziqiang He Zhong Wang Xiangui Kang AAML 77 0 0 15 Dec 2024
Sustainable Self-evolution Adversarial Training Wenxuan Wang Chenglei Wang Huihui Qi Menghao Ye Xuelin Qian Peng Wang Yanning Zhang AAML 66 0 0 03 Dec 2024
Improving Transferable Targeted Attacks with Feature Tuning Mixup K. Liang Xuelong Dai Yanjie Li Dong Wang Bin Xiao AAML 155 0 0 23 Nov 2024
Improving the Transferability of Adversarial Attacks on Face Recognition with Diverse Parameters Augmentation Fengfan Zhou Bangjie Yin Hefei Ling Qianyu Zhou Wenxuan Wang AAML 63 0 0 23 Nov 2024
Achieving Domain-Independent Certified Robustness via Knowledge Continuity Alan Sun Chiyu Ma Kenneth Ge Soroush Vosoughi 36 0 0 03 Nov 2024
Replace-then-Perturb: Targeted Adversarial Attacks With Visual Reasoning for Vision-Language Models Jonggyu Jang Hyeonsu Lyu Jungyeon Koh H. Yang VLM AAML 40 0 0 01 Nov 2024
Transferable Adversarial Attacks on SAM and Its Downstream Models Song Xia Wenhan Yang Yi Yu Xun Lin Henghui Ding Lingyu Duan Xudong Jiang AAML SILM 58 6 0 26 Oct 2024
GADT: Enhancing Transferable Adversarial Attacks through Gradient-guided Adversarial Data Transformation Yating Ma Xiaogang Xu Liming Fang Zhe Liu AAML 28 0 0 24 Oct 2024
PEAS: A Strategy for Crafting Transferable Adversarial Examples Bar Avraham Yisroel Mirsky AAML 19 0 0 20 Oct 2024
MMAD-Purify: A Precision-Optimized Framework for Efficient and Scalable Multi-Modal Attacks Xinxin Liu Zhongliang Guo Siyuan Huang Chun Pong Lau AAML DiffM 26 0 0 17 Oct 2024
BlackDAN: A Black-Box Multi-Objective Approach for Effective and Contextual Jailbreaking of Large Language Models Xinyuan Wang Victor Shea-Jay Huang Renmiao Chen Hao Wang C. Pan Lei Sha Minlie Huang AAML 23 2 0 13 Oct 2024
S $^4$ ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack Yongxiang Liu Bowen Peng Li Liu X. Li 110 0 0 13 Oct 2024
On the Adversarial Transferability of Generalized "Skip Connections" Yisen Wang Yichuan Mo Dongxian Wu Mingjie Li Xingjun Ma Zhouchen Lin AAML 28 2 0 11 Oct 2024
Understanding Model Ensemble in Transferable Adversarial Attack Wei Yao Zeliang Zhang Huayi Tang Yong Liu 33 2 0 09 Oct 2024
AnyAttack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models Jiaming Zhang Junhong Ye Xingjun Ma Yige Li Yunfan Yang Jitao Sang Dit-Yan Yeung Dit-Yan Yeung AAML VLM 34 0 0 07 Oct 2024
SCA: Highly Efficient Semantic-Consistent Unrestricted Adversarial Attack Zihao Pan Weibin Wu Yuhang Cao Zibin Zheng DiffM AAML 60 1 0 03 Oct 2024
Discerning the Chaos: Detecting Adversarial Perturbations while Disentangling Intentional from Unintentional Noises Anubhooti Jain Susim Roy Kwanit Gupta Mayank Vatsa Richa Singh AAML 25 0 0 29 Sep 2024
ViTGuard: Attention-aware Detection against Adversarial Examples for Vision Transformer Shihua Sun Kenechukwu Nwodo Shridatt Sugrim Angelos Stavrou Haining Wang AAML 21 1 0 20 Sep 2024
Hidden Activations Are Not Enough: A General Approach to Neural Network Predictions Samuel Leblanc Aiky Rasolomanana Marco Armenta 30 0 0 20 Sep 2024
Learning to Learn Transferable Generative Attack for Person Re-Identification Yuan Bian Min Liu Xueping Wang Yunfeng Ma Yaonan Wang AAML OOD 58 1 0 06 Sep 2024