Enhancing the Transferability of Adversarial Attacks through Variance Tuning

29 March 2021

Papers citing "Enhancing the Transferability of Adversarial Attacks through Variance Tuning"

50 / 192 papers shown

Title
Improving Transferable Targeted Adversarial Attack via Normalized Logit Calibration and Truncated Feature Mixing Juanjuan Weng Zhiming Luo Shaozi Li AAML 36 0 0 10 May 2024
Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability Juanjuan Weng Zhiming Luo Shaozi Li AAML 39 1 0 06 May 2024
MISLEAD: Manipulating Importance of Selected features for Learning Epsilon in Evasion Attack Deception Vidit Khazanchi Pavan Kulkarni Yuvaraj Govindarajulu Manojkumar Somabhai Parmar AAML 37 0 0 24 Apr 2024
AED-PADA:Improving Generalizability of Adversarial Example Detection via Principal Adversarial Domain Adaptation Heqi Peng Yun-an Wang Ruijie Yang Beichen Li Rui Wang Yuanfang Guo AAML 43 0 0 19 Apr 2024
Unsegment Anything by Simulating Deformation Jiahao Lu Xingyi Yang Xinchao Wang 36 4 0 03 Apr 2024
BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks Zhiyuan Cheng Zhaoyi Liu Tengda Guo Shiwei Feng Dongfang Liu Mingjie Tang Xiangyu Zhang AAML 36 3 0 01 Apr 2024
On Inherent Adversarial Robustness of Active Vision Systems Amitangshu Mukherjee Timur Ibrayev Kaushik Roy AAML 36 0 0 29 Mar 2024
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation Yifan Wu Jiawei Du Ping Liu Yuewei Lin Wenqing Cheng Wei-ping Xu DD AAML 40 5 0 20 Mar 2024
As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks? Anjun Hu Jindong Gu Francesco Pinto Konstantinos Kamnitsas Philip H. S. Torr AAML SILM 34 5 0 19 Mar 2024
Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples Ziqi Zhou Minghui Li Wei Liu Shengshan Hu Yechao Zhang Wei Wan Lulu Xue Leo Yu Zhang Dezhong Yao Hai Jin SILM AAML 50 9 0 16 Mar 2024
Hard-label based Small Query Black-box Adversarial Attack Jeonghwan Park Paul Miller Niall McLaughlin MLAU 24 3 0 09 Mar 2024
Improving the Robustness of Object Detection and Classification AI models against Adversarial Patch Attacks Roie Kazoom Raz Birman Ofer Hadar AAML 17 3 0 04 Mar 2024
Adversarial Example Soups: Improving Transferability and Stealthiness for Free Bo Yang Hengwei Zhang Jin-dong Wang Yulong Yang Chenhao Lin Chao Shen Zhengyu Zhao SILM AAML 68 1 0 27 Feb 2024
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping Qinliang Lin Cheng Luo Zenghao Niu Xilin He Weicheng Xie Yuanbo Hou Linlin Shen Siyang Song AAML 39 12 0 06 Feb 2024
Towards Assessing the Synthetic-to-Measured Adversarial Vulnerability of SAR ATR Bowen Peng Bo Peng Jingyuan Xia Tianpeng Liu Yongxiang Liu Li Liu AAML 32 4 0 30 Jan 2024
Boosting the Transferability of Adversarial Examples via Local Mixup and Adaptive Step Size Junlin Liu Xinchen Lyu AAML 33 3 0 24 Jan 2024
Rethinking Impersonation and Dodging Attacks on Face Recognition Systems Fengfan Zhou Qianyu Zhou Bangjie Yin Hui Zheng Xuequan Lu Lizhuang Ma Heifei Ling AAML 44 3 0 17 Jan 2024
Bag of Tricks to Boost Adversarial Transferability Zeliang Zhang Rongyi Zhu Wei Yao Xiaosen Wang Chenliang Xu AAML 47 9 0 16 Jan 2024
Adversarial Examples are Misaligned in Diffusion Model Manifolds P. Lorenz Ricard Durall Jansi Keuper DiffM 47 1 0 12 Jan 2024
GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model Zhiyu Zhu Huaming Chen Xinyi Wang Jiayu Zhang Zhibo Jin Kim-Kwang Raymond Choo Jun Shen Dong Yuan 29 8 0 11 Jan 2024
Enhancing targeted transferability via feature space fine-tuning Hui Zeng Biwei Chen Anjie Peng AAML 23 3 0 05 Jan 2024
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks Meixi Zheng Xuanchen Yan Zihao Zhu Hongrui Chen Baoyuan Wu ELM MLAU AAML 34 8 0 28 Dec 2023
AutoAugment Input Transformation for Highly Transferable Targeted Attacks Haobo Lu Xin Liu Kun He AAML 16 0 0 21 Dec 2023
Mutual-modality Adversarial Attack with Semantic Perturbation Jingwen Ye Ruonan Yu Songhua Liu Xinchao Wang AAML 29 9 0 20 Dec 2023
The Ultimate Combo: Boosting Adversarial Example Transferability by Composing Data Augmentations Zebin Yun Achi-Or Weingarten Eyal Ronen Mahmood Sharif 19 2 0 18 Dec 2023
Continual Adversarial Defense Qian Wang Yaoyao Liu Hefei Ling Yingwei Li Qihao Liu Ping Li AAML 59 3 0 15 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
Indirect Gradient Matching for Adversarial Robust Distillation Hongsin Lee Seungju Cho Changick Kim AAML FedML 53 2 0 06 Dec 2023
Generating Visually Realistic Adversarial Patch Xiaosen Wang Kunyu Wang AAML 21 0 0 05 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
AdvGen: Physical Adversarial Attack on Face Presentation Attack Detection Systems Sai Amrit Patnaik Shivali Chansoriya Anil K. Jain A. Namboodiri AAML GAN 31 0 0 20 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
Adversarial Prompt Tuning for Vision-Language Models Jiaming Zhang Xingjun Ma Xin Wang Lingyu Qiu Jiaqi Wang Yu-Gang Jiang Jitao Sang AAML VPVLM VLM 30 18 0 19 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
Flatness-aware Adversarial Attack Mingyuan Fan Xiaodan Li Cen Chen Yinggui Wang AAML 18 0 0 10 Nov 2023
Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly Qizhang Li Yiwen Guo Wangmeng Zuo Hao Chen ELM AAML 33 2 0 02 Nov 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
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 31 11 0 23 Oct 2023
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks Yue Cao Tianlin Li Xiaofeng Cao Ivor Tsang Yang Liu Qing-Wu Guo AAML 26 2 0 18 Oct 2023
DANAA: Towards transferable attacks with double adversarial neuron attribution Zhibo Jin Zhiyu Zhu Xinyi Wang Jiayu Zhang Jun Shen Huaming Chen AAML 19 9 0 16 Oct 2023
OMG-ATTACK: Self-Supervised On-Manifold Generation of Transferable Evasion Attacks Ofir Bar Tal Adi Haviv Amit H. Bermano AAML 18 0 0 05 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