HopSkipJumpAttack: A Query-Efficient Decision-Based Attack

3 April 2019

Papers citing "HopSkipJumpAttack: A Query-Efficient Decision-Based Attack"

50 / 138 papers shown

Title
What's Pulling the Strings? Evaluating Integrity and Attribution in AI Training and Inference through Concept Shift Jiamin Chang Yiming Li Hammond Pearce Ruoxi Sun Bo-wen Li Minhui Xue 43 0 0 28 Apr 2025
GSBA $^K$ : $top$ - $K$ Geometric Score-based Black-box Attack Md. Farhamdur Reza Richeng Jin Tianfu Wu H. Dai AAML 47 0 0 17 Mar 2025
SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks Yue Gao Ilia Shumailov Kassem Fawaz AAML 148 0 0 21 Feb 2025
RobustBlack: Challenging Black-Box Adversarial Attacks on State-of-the-Art Defenses Mohamed Djilani Salah Ghamizi Maxime Cordy 45 0 0 31 Dec 2024
AI-generated Image Detection: Passive or Watermark? Moyang Guo Yuepeng Hu Zhengyuan Jiang Zeyu Li Amir Sadovnik Arka Daw Neil Zhenqiang Gong 83 1 0 20 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
A Cost-Aware Approach to Adversarial Robustness in Neural Networks Charles Meyers Mohammad Reza Saleh Sedghpour Tommy Löfstedt Erik Elmroth OOD AAML 33 0 0 11 Sep 2024
Robustness of Watermarking on Text-to-Image Diffusion Models Xiaodong Wu Xiangman Li Jianbing Ni AAML WIGM 48 0 0 04 Aug 2024
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 46 4 0 04 Aug 2024
A Survey on Failure Analysis and Fault Injection in AI Systems Guangba Yu Gou Tan Haojia Huang Zhenyu Zhang Pengfei Chen Roberto Natella Zibin Zheng 47 4 0 28 Jun 2024
AudioMarkBench: Benchmarking Robustness of Audio Watermarking Hongbin Liu Moyang Guo Zhengyuan Jiang Lun Wang Neil Zhenqiang Gong 39 6 0 11 Jun 2024
Spectral regularization for adversarially-robust representation learning Sheng Yang Jacob A. Zavatone-Veth Cengiz Pehlevan AAML OOD 49 0 0 27 May 2024
OSLO: One-Shot Label-Only Membership Inference Attacks Yuefeng Peng Jaechul Roh Subhransu Maji Amir Houmansadr 44 0 0 27 May 2024
From Attack to Defense: Insights into Deep Learning Security Measures in Black-Box Settings Firuz Juraev Mohammed Abuhamad Eric Chan-Tin George K. Thiruvathukal Tamer Abuhmed AAML 41 0 0 03 May 2024
Towards a Novel Perspective on Adversarial Examples Driven by Frequency Zhun Zhang Yi Zeng Qihe Liu Shijie Zhou AAML 39 0 0 16 Apr 2024
BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial Attack Viet Vo Ehsan Abbasnejad Damith C. Ranasinghe AAML 41 5 0 08 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
Counter-Samples: A Stateless Strategy to Neutralize Black Box Adversarial Attacks Roey Bokobza Yisroel Mirsky AAML 38 0 0 14 Mar 2024
Sparse and Transferable Universal Singular Vectors Attack Kseniia Kuvshinova Olga Tsymboi Ivan Oseledets AAML 38 0 0 25 Jan 2024
CARE: Ensemble Adversarial Robustness Evaluation Against Adaptive Attackers for Security Applications Hangsheng Zhang Jiqiang Liu Jinsong Dong AAML 21 1 0 20 Jan 2024
The Adaptive Arms Race: Redefining Robustness in AI Security Ilias Tsingenopoulos Vera Rimmer Davy Preuveneers Fabio Pierazzi Lorenzo Cavallaro Wouter Joosen AAML 85 0 0 20 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 47 2 0 07 Dec 2023
ScAR: Scaling Adversarial Robustness for LiDAR Object Detection Xiaohu Lu H. Radha AAML 3DPC 39 0 0 05 Dec 2023
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing Ashutosh Nirala Ameya Joshi Chinmay Hegde S Sarkar VLM 36 0 0 15 Nov 2023
Improving Robustness for Vision Transformer with a Simple Dynamic Scanning Augmentation Shashank Kotyan Danilo Vasconcellos Vargas ViT 29 2 0 01 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
On existence, uniqueness and scalability of adversarial robustness measures for AI classifiers I. Horenko AAML 16 2 0 19 Oct 2023
Decentralized Gradient-Free Methods for Stochastic Non-Smooth Non-Convex Optimization Zhenwei Lin Jingfan Xia Qi Deng Luo Luo 31 3 0 18 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
Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness Ambar Pal Huaijin Hao Rene Vidal 26 8 0 28 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
CGBA: Curvature-aware Geometric Black-box Attack Md. Farhamdur Reza A. Rahmati Tianfu Wu H. Dai AAML 30 17 0 06 Aug 2023
Mirror Natural Evolution Strategies Haishan Ye 27 2 0 01 Aug 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 21 3 0 30 Jul 2023
Adversarial training for tabular data with attack propagation Tiago Leon Melo Joao Bravo Marco O. P. Sampaio Paolo Romano Hugo Ferreira João Tiago Ascensão P. Bizarro AAML 27 1 0 28 Jul 2023
Group-based Robustness: A General Framework for Customized Robustness in the Real World Weiran Lin Keane Lucas Neo Eyal Lujo Bauer Michael K. Reiter Mahmood Sharif OOD AAML 42 1 0 29 Jun 2023
On Evaluating the Adversarial Robustness of Semantic Segmentation Models L. Halmosi Márk Jelasity AAML VLM 39 1 0 25 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 28 11 0 21 Jun 2023
Membership inference attack with relative decision boundary distance Jiacheng Xu Chengxiang Tan 26 1 0 07 Jun 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 52 51 0 18 May 2023
Generating Adversarial Samples in Mini-Batches May Be Detrimental To Adversarial Robustness T. Redgrave Colton R. Crum AAML 32 0 0 30 Mar 2023
Anti-DreamBooth: Protecting users from personalized text-to-image synthesis T. Le Hao Phung Thuan Hoang Nguyen Quan Dao Ngoc N. Tran Anh Tran 28 92 0 27 Mar 2023
Decision-BADGE: Decision-based Adversarial Batch Attack with Directional Gradient Estimation Geunhyeok Yu Minwoo Jeon Hyoseok Hwang AAML 24 1 0 09 Mar 2023
Membership Inference Attack for Beluga Whales Discrimination Voncarlos Marcelo Araújo Sébastien Gambs Clément Chion Robert Michaud L. Schneider H. Lautraite 33 2 0 28 Feb 2023
Interpretable Spectrum Transformation Attacks to Speaker Recognition Jiadi Yao H. Luo Xiao-Lei Zhang AAML 32 1 0 21 Feb 2023
Prompt Stealing Attacks Against Text-to-Image Generation Models Xinyue Shen Y. Qu Michael Backes Yang Zhang 30 32 0 20 Feb 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective Baoyuan Wu Zihao Zhu Li Liu Qingshan Liu Zhaofeng He Siwei Lyu AAML 44 21 0 19 Feb 2023
On the Efficacy of Metrics to Describe Adversarial Attacks Tommaso Puccetti T. Zoppi Andrea Ceccarelli AAML 19 2 0 30 Jan 2023
Benchmarking Robustness to Adversarial Image Obfuscations Florian Stimberg Ayan Chakrabarti Chun-Ta Lu Hussein Hazimeh Otilia Stretcu ... Merve Kaya Cyrus Rashtchian Ariel Fuxman Mehmet Tek Sven Gowal AAML 37 10 0 30 Jan 2023
A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks David Boetius Stefan Leue Tobias Sutter 38 4 0 26 Jan 2023