Stateful Detection of Black-Box Adversarial Attacks

12 July 2019

Papers citing "Stateful Detection of Black-Box Adversarial Attacks"

20 / 20 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 44 0 0 08 May 2025
SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks Yue Gao Ilia Shumailov Kassem Fawaz AAML 135 0 0 21 Feb 2025
AdvQDet: Detecting Query-Based Adversarial Attacks with Adversarial Contrastive Prompt Tuning Xin Wang Kai-xiang Chen Xingjun Ma Zhineng Chen Jingjing Chen Yu-Gang Jiang AAML 38 3 0 04 Aug 2024
Counter-Samples: A Stateless Strategy to Neutralize Black Box Adversarial Attacks Roey Bokobza Yisroel Mirsky AAML 30 0 0 14 Mar 2024
The Adaptive Arms Race: Redefining Robustness in AI Security Ilias Tsingenopoulos Vera Rimmer Davy Preuveneers Fabio Pierazzi Lorenzo Cavallaro Wouter Joosen AAML 70 0 0 20 Dec 2023
PubDef: Defending Against Transfer Attacks From Public Models Chawin Sitawarin Jaewon Chang David Huang Wesson Altoyan David A. Wagner AAML 31 5 0 26 Oct 2023
Theoretically Principled Trade-off for Stateful Defenses against Query-Based Black-Box Attacks Ashish Hooda Neal Mangaokar Ryan Feng Kassem Fawaz S. Jha Atul Prakash AAML 13 3 0 30 Jul 2023
Towards Good Practices in Evaluating Transfer Adversarial Attacks Zhengyu Zhao Hanwei Zhang Renjue Li R. Sicre Laurent Amsaleg Michael Backes AAML 21 20 0 17 Nov 2022
Deepfake Text Detection: Limitations and Opportunities Jiameng Pu Zain Sarwar Sifat Muhammad Abdullah A. Rehman Yoonjin Kim P. Bhattacharya M. Javed Bimal Viswanath AAML 19 53 0 17 Oct 2022
Audit and Improve Robustness of Private Neural Networks on Encrypted Data Jiaqi Xue Lei Xu Lin Chen W. Shi Kaidi Xu Qian Lou AAML 20 5 0 20 Sep 2022
Energy-Latency Attacks via Sponge Poisoning Antonio Emanuele Cinà Ambra Demontis Battista Biggio Fabio Roli Marcello Pelillo SILM 39 29 0 14 Mar 2022
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 16 5 0 15 Feb 2022
Boundary Defense Against Black-box Adversarial Attacks Manjushree B. Aithal Xiaohua Li AAML 17 6 0 31 Jan 2022
Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems Wei Jia Zhaojun Lu Haichun Zhang Zhenglin Liu Jie Wang Gang Qu AAML 16 51 0 17 Jan 2022
Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art Xiang Ling Lingfei Wu Jiangyu Zhang Zhenqing Qu Wei Deng ... Chunming Wu S. Ji Tianyue Luo Jingzheng Wu Yanjun Wu AAML 28 72 0 23 Dec 2021
AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis Junfeng Guo Ang Li Cong Liu AAML 45 74 0 28 Oct 2021
SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition Systems Yuxuan Chen Jiangshan Zhang Xuejing Yuan Shengzhi Zhang Kai Chen XiaoFeng Wang Shanqing Guo AAML 35 15 0 19 Mar 2021
Yet Another Intermediate-Level Attack Qizhang Li Yiwen Guo Hao Chen AAML 19 51 0 20 Aug 2020
Percival: Making In-Browser Perceptual Ad Blocking Practical With Deep Learning Z. Din P. Tigas Samuel T. King B. Livshits VLM 28 29 0 17 May 2019
AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning K. Makarychev Pascal Dupré Yury Makarychev Giancarlo Pellegrino Dan Boneh AAML 26 64 0 08 Nov 2018