Delving into Transferable Adversarial Examples and Black-box Attacks

8 November 2016

Papers citing "Delving into Transferable Adversarial Examples and Black-box Attacks"

50 / 375 papers shown

Title
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP Hanxun Huang Sarah Monazam Erfani Yige Li Xingjun Ma James Bailey AAML 57 0 0 08 May 2025
REVEAL: Multi-turn Evaluation of Image-Input Harms for Vision LLM Madhur Jindal Saurabh Deshpande AAML 52 0 0 07 May 2025
Transferable Adversarial Attacks on Black-Box Vision-Language Models Kai Hu Weichen Yu Lefei Zhang Alexander Robey Andy Zou Chengming Xu Haoqi Hu Matt Fredrikson AAML VLM 72 1 0 02 May 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
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 223 0 0 20 Apr 2025
Harnessing the Computation Redundancy in ViTs to Boost Adversarial Transferability Jiani Liu Zhiyuan Wang Zeliang Zhang Chao Huang Susan Liang Yunlong Tang Chenliang Xu AAML 39 0 0 15 Apr 2025
TarPro: Targeted Protection against Malicious Image Editing Kaixin Shen Ruijie Quan Jiaxu Miao Jun Xiao Yi Yang 62 1 0 18 Mar 2025
AMUN: Adversarial Machine UNlearning A. Boroojeny Hari Sundaram Varun Chandrasekaran MU AAML 48 0 0 02 Mar 2025
A Transfer Attack to Image Watermarks Yuepeng Hu Zhengyuan Jiang Moyang Guo Neil Zhenqiang Gong 77 10 0 20 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
Two Heads Are Better Than One: Averaging along Fine-Tuning to Improve Targeted Transferability Hui Zeng Sanshuai Cui Biwei Chen Anjie Peng AAML 49 0 0 31 Dec 2024
Adversarial Hubness in Multi-Modal Retrieval Tingwei Zhang Fnu Suya Rishi Jha Collin Zhang Vitaly Shmatikov AAML 90 1 0 18 Dec 2024
Transferable Adversarial Face Attack with Text Controlled Attribute Wenyun Li Zheng Zhang X. Lan D. Jiang AAML 83 1 0 16 Dec 2024
Improving Transferable Targeted Attacks with Feature Tuning Mixup K. Liang Xuelong Dai Yanjie Li Dong Wang Bin Xiao AAML 230 0 0 23 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 66 6 0 26 Oct 2024
Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense Rui Min Zeyu Qin Nevin L. Zhang Li Shen Minhao Cheng AAML 41 4 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 Xuzhao Li 168 0 0 13 Oct 2024
Understanding Model Ensemble in Transferable Adversarial Attack Wei Yao Zeliang Zhang Huayi Tang Yong Liu 33 2 0 09 Oct 2024
Dormant: Defending against Pose-driven Human Image Animation Jiachen Zhou Mingsi Wang Tianlin Li Guozhu Meng Kai Chen 69 3 0 22 Sep 2024
Learning to Learn Transferable Generative Attack for Person Re-Identification Yuan Bian Min Liu Xueping Wang Yunfeng Ma Yaonan Wang AAML OOD 71 1 0 06 Sep 2024
Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit Duanyi Yao Songze Li Ye Xue Jin Liu FedML AAML 37 1 0 08 Aug 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 78 1 0 21 Jun 2024
Erasing Radio Frequency Fingerprints via Active Adversarial Perturbation Zhaoyi Lu Wenchao Xu Ming Tu Xin Xie Cunqing Hua Nan Cheng 59 1 0 11 Jun 2024
HOLMES: to Detect Adversarial Examples with Multiple Detectors Jing Wen AAML 43 0 0 30 May 2024
Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving Shaoyuan Xie Lingdong Kong Wenwei Zhang Jiawei Ren Liang Pan Kai-xiang Chen Ziwei Liu AAML 60 10 0 27 May 2024
Effective and Robust Adversarial Training against Data and Label Corruptions Pengfei Zhang Zi Huang Xin-Shun Xu Guangdong Bai 51 4 0 07 May 2024
Don't Say No: Jailbreaking LLM by Suppressing Refusal Yukai Zhou Wenjie Wang AAML 44 15 0 25 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 41 3 0 01 Apr 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 71 2 0 27 Feb 2024
A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense Ryota Iijima Sayaka Shiota Hitoshi Kiya 38 6 0 11 Feb 2024
Black-Box Access is Insufficient for Rigorous AI Audits Stephen Casper Carson Ezell Charlotte Siegmann Noam Kolt Taylor Lynn Curtis ... Michael Gerovitch David Bau Max Tegmark David M. Krueger Dylan Hadfield-Menell AAML 38 78 0 25 Jan 2024
DOEPatch: Dynamically Optimized Ensemble Model for Adversarial Patches Generation Wenyi Tan Yang Li Chenxing Zhao Zhunga Liu Quanbiao Pan AAML 28 3 0 28 Dec 2023
Towards Transferable Adversarial Attacks with Centralized Perturbation Shangbo Wu Yu-an Tan Yajie Wang Ruinan Ma Wencong Ma Yuan-zhang Li AAML 35 9 0 11 Dec 2023
InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language Models Xunguang Wang Zhenlan Ji Pingchuan Ma Zongjie Li Shuai Wang MLLM 48 11 0 04 Dec 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 68 3 0 20 Nov 2023
On The Relationship Between Universal Adversarial Attacks And Sparse Representations Dana Weitzner Raja Giryes AAML 32 0 0 14 Nov 2023
PubDef: Defending Against Transfer Attacks From Public Models Chawin Sitawarin Jaewon Chang David Huang Wesson Altoyan David Wagner AAML 39 6 0 26 Oct 2023
Finite-context Indexing of Restricted Output Space for NLP Models Facing Noisy Input Minh Nguyen Nancy F. Chen 30 0 0 21 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 40 16 0 01 Oct 2023
A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services Hongsheng Hu Shuo Wang Jiamin Chang Haonan Zhong Ruoxi Sun Shuang Hao Haojin Zhu Minhui Xue MU 21 26 0 15 Sep 2023
Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake Detection Weijie Wang Zhengyu Zhao N. Sebe Bruno Lepri AAML 41 2 0 03 Sep 2023
Adversarial Illusions in Multi-Modal Embeddings Tingwei Zhang Rishi Jha Eugene Bagdasaryan Vitaly Shmatikov AAML 34 8 0 22 Aug 2023
Enhancing Adversarial Attacks: The Similar Target Method Shuo Zhang Ziruo Wang Zikai Zhou Huanran Chen AAML 57 1 0 21 Aug 2023
Boosting Adversarial Transferability by Block Shuffle and Rotation Kunyu Wang Xu He Wenxuan Wang Xiaosen Wang AAML 33 36 0 20 Aug 2023
Backpropagation Path Search On Adversarial Transferability Zhuoer Xu Zhangxuan Gu Jianping Zhang Shiwen Cui Changhua Meng Weiqiang Wang AAML 40 5 0 15 Aug 2023
Why Does Little Robustness Help? Understanding and Improving Adversarial Transferability from Surrogate Training Yechao Zhang Shengshan Hu Leo Yu Zhang Junyu Shi Minghui Li Xiaogeng Liu Wei Wan Hai Jin AAML 27 21 0 15 Jul 2023
GNP Attack: Transferable Adversarial Examples via Gradient Norm Penalty Tao Wu Tie-Mei Luo D. Wunsch AAML 30 9 0 09 Jul 2023
A Theoretical Perspective on Subnetwork Contributions to Adversarial Robustness Jovon Craig Joshua Andle Theodore S. Nowak Salimeh Yasaei Sekeh AAML 50 0 0 07 Jul 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 28 11 0 21 Jun 2023