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
ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural Networks Peng Zhao Jiehua Zhang Bowen Peng Longguang Wang Yingmei Wei Yu Liu Li Liu AAML 29 0 0 21 Dec 2023
LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate Tao Wu Tie Luo D. C. Wunsch 41 4 0 20 Dec 2023
The Ultimate Combo: Boosting Adversarial Example Transferability by Composing Data Augmentations Zebin Yun Achi-Or Weingarten Eyal Ronen Mahmood Sharif 25 2 0 18 Dec 2023
Continual Adversarial Defense Qian Wang Yaoyao Liu Hefei Ling Yingwei Li Qihao Liu Ping Li AAML 62 3 0 15 Dec 2023
QuadAttack: A Quadratic Programming Approach to Ordered Top-K Attacks Thomas Paniagua Ryan Grainger Tianfu Wu AAML 35 0 0 12 Dec 2023
Towards Transferable Adversarial Attacks with Centralized Perturbation Shangbo Wu Yu-an Tan Yajie Wang Ruinan Ma Wencong Ma Yuan-zhang Li AAML 20 9 0 11 Dec 2023
SA-Attack: Improving Adversarial Transferability of Vision-Language Pre-training Models via Self-Augmentation Bangyan He Xiaojun Jia Siyuan Liang Tianrui Lou Yang Liu Xiaochun Cao AAML VLM 31 23 0 08 Dec 2023
OT-Attack: Enhancing Adversarial Transferability of Vision-Language Models via Optimal Transport Optimization Dongchen Han Xiaojun Jia Yang Bai Jindong Gu Yang Liu Xiaochun Cao VLM 30 22 0 07 Dec 2023
TranSegPGD: Improving Transferability of Adversarial Examples on Semantic Segmentation Xiaojun Jia Jindong Gu Yihao Huang Simeng Qin Qing-Wu Guo Yang Liu Xiaochun Cao 38 2 0 03 Dec 2023
Improving Adversarial Transferability via Model Alignment A. Ma Amir-massoud Farahmand Yangchen Pan Philip H. S. Torr Jindong Gu AAML 28 5 0 30 Nov 2023
Rethinking Mixup for Improving the Adversarial Transferability Xiaosen Wang Zeyuan Yin AAML 30 2 0 28 Nov 2023
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems Guangjing Wang Ce Zhou Yuanda Wang Bocheng Chen Hanqing Guo Qiben Yan AAML SILM 63 3 0 20 Nov 2023
Boost Adversarial Transferability by Uniform Scale and Mix Mask Method Tao Wang Zijian Ying Qianmu Li Zhichao Lian AAML 22 4 0 18 Nov 2023
Improving Adversarial Transferability by Stable Diffusion Jiayang Liu Siyu Zhu Siyuan Liang Jie Zhang Han Fang Weiming Zhang Ee-Chien Chang AAML DiffM 24 11 0 18 Nov 2023
Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models Heeseon Kim Minji Son Minbeom Kim Myung-Joon Kwon Changick Kim AAML 37 7 0 17 Nov 2023
Flatness-aware Adversarial Attack Mingyuan Fan Xiaodan Li Cen Chen Yinggui Wang AAML 22 0 0 10 Nov 2023
Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly Qizhang Li Yiwen Guo Wangmeng Zuo Hao Chen ELM AAML 38 2 0 02 Nov 2023
LFAA: Crafting Transferable Targeted Adversarial Examples with Low-Frequency Perturbations Kunyu Wang Juluan Shi Wenxuan Wang AAML 29 6 0 31 Oct 2023
PubDef: Defending Against Transfer Attacks From Public Models Chawin Sitawarin Jaewon Chang David Huang Wesson Altoyan David A. Wagner AAML 34 5 0 26 Oct 2023
A Survey on Transferability of Adversarial Examples across Deep Neural Networks Jindong Gu Xiaojun Jia Pau de Jorge Wenqain Yu Xinwei Liu ... Anjun Hu Ashkan Khakzar Zhijiang Li Xiaochun Cao Philip H. S. Torr AAML 29 26 0 26 Oct 2023
SoK: Pitfalls in Evaluating Black-Box Attacks Fnu Suya Anshuman Suri Tingwei Zhang Jingtao Hong Yuan Tian David E. Evans AAML 31 6 0 26 Oct 2023
Facial Data Minimization: Shallow Model as Your Privacy Filter Yuwen Pu Jiahao Chen Jiayu Pan Hao li Diqun Yan Xuhong Zhang Shouling Ji PICV 27 1 0 24 Oct 2023
Fast Propagation is Better: Accelerating Single-Step Adversarial Training via Sampling Subnetworks Xiaojun Jia Jianshu Li Jindong Gu Yang Bai Xiaochun Cao AAML 24 9 0 24 Oct 2023
Semantic-Aware Adversarial Training for Reliable Deep Hashing Retrieval Xu Yuan Zheng-Wei Zhang Xunguang Wang Lin Wu AAML 34 11 0 23 Oct 2023
Black-box Targeted Adversarial Attack on Segment Anything (SAM) Sheng Zheng Chaoning Zhang Xinhong Hao AAML 34 7 0 16 Oct 2023
Assessing Robustness via Score-Based Adversarial Image Generation Marcel Kollovieh Lukas Gosch Yan Scholten Marten Lienen Leo Schwinn Stephan Günnemann DiffM 37 4 0 06 Oct 2023
AutoLoRa: A Parameter-Free Automated Robust Fine-Tuning Framework Xilie Xu Jingfeng Zhang Mohan S. Kankanhalli AAML 17 10 0 03 Oct 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks Yanjie Li Bin Xie Songtao Guo Yuanyuan Yang Bin Xiao AAML 37 15 0 01 Oct 2023
Structure Invariant Transformation for better Adversarial Transferability Xiaosen Wang Zeliang Zhang Jianping Zhang AAML 24 59 0 26 Sep 2023
How Robust is Google's Bard to Adversarial Image Attacks? Yinpeng Dong Huanran Chen Jiawei Chen Zhengwei Fang X. Yang Yichi Zhang Yu Tian Hang Su Jun Zhu AAML 36 102 0 21 Sep 2023
Towards Certified Probabilistic Robustness with High Accuracy Ruihan Zhang Peixin Zhang Jun Sun AAML 27 0 0 02 Sep 2023
Enhancing Adversarial Attacks: The Similar Target Method Shuo Zhang Ziruo Wang Zikai Zhou Huanran Chen AAML 54 1 0 21 Aug 2023
Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer Zhijin Ge Fanhua Shang Hongying Liu Yuanyuan Liu Liang Wan Wei Feng Xiaosen Wang AAML 38 19 0 21 Aug 2023
Boosting Adversarial Transferability by Block Shuffle and Rotation Kunyu Wang Xu He Wenxuan Wang Xiaosen Wang AAML 31 36 0 20 Aug 2023
A Review of Adversarial Attacks in Computer Vision Yutong Zhang Yao Li Yin Li Zhichang Guo AAML 21 3 0 15 Aug 2023
Backpropagation Path Search On Adversarial Transferability Zhuoer Xu Zhangxuan Gu Jianping Zhang Shiwen Cui Changhua Meng Weiqiang Wang AAML 38 5 0 15 Aug 2023
Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation Xuantong Liu Yaoyao Zhong Yuhang Zhang Lixiong Qin Weihong Deng AAML 30 25 0 11 Aug 2023
Transferable Attack for Semantic Segmentation Mengqi He Jing Zhang Zhaoyuan Yang Mingyi He Nick Barnes Yuchao Dai 36 2 0 31 Jul 2023
Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models Dong Lu Zhiqiang Wang Teng Wang Weili Guan Hongchang Gao Feng Zheng AAML 53 65 0 26 Jul 2023
Improving Transferability of Adversarial Examples via Bayesian Attacks Qizhang Li Yiwen Guo Xiaochen Yang W. Zuo Hao Chen AAML BDL 31 2 0 21 Jul 2023
RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical World Donghua Wang Wen Yao Tingsong Jiang Chong Li Xiaoqian Chen AAML 17 28 0 14 Jul 2023
Probabilistic and Semantic Descriptions of Image Manifolds and Their Applications Peter Tu Zhaoyuan Yang Richard I. Hartley Zhiwei Xu Jing Zhang Yiwei Fu Dylan Campbell Jaskirat Singh Tianyu Wang DiffM 30 2 0 06 Jul 2023
Common Knowledge Learning for Generating Transferable Adversarial Examples Rui Yang Yuanfang Guo Junfu Wang Jiantao Zhou Yun-an Wang AAML 13 0 0 01 Jul 2023
Defense against Adversarial Cloud Attack on Remote Sensing Salient Object Detection Huiming Sun Lan Fu Jinlong Li Qing-Wu Guo Zibo Meng Tianyun Zhang Yuewei Lin Hongkai Yu AAML 19 9 0 30 Jun 2023
Evaluating Similitude and Robustness of Deep Image Denoising Models via Adversarial Attack Jie Ning Jiebao Sun Yao Li Zhichang Guo Wangmeng Zuo 11 6 0 28 Jun 2023
Boosting Adversarial Transferability with Learnable Patch-wise Masks Xingxing Wei Shiji Zhao AAML 19 10 0 28 Jun 2023
Rethinking the Backward Propagation for Adversarial Transferability Xiaosen Wang Kangheng Tong Kun He AAML SILM 24 25 0 22 Jun 2023
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking Shaohui Mei Jiawei Lian Xiaofei Wang Yuru Su Mingyang Ma Lap-Pui Chau AAML 23 11 0 21 Jun 2023
Reliable Evaluation of Adversarial Transferability Wenqian Yu Jindong Gu Zhijiang Li Philip H. S. Torr AAML 29 8 0 14 Jun 2023
On the Robustness of Latent Diffusion Models Jianping Zhang Zhuoer Xu Shiwen Cui Changhua Meng Weibin Wu Michael R. Lyu AAML 19 20 0 14 Jun 2023