Square Attack: a query-efficient black-box adversarial attack via random search

29 November 2019

Maksym Andriushchenko

Matthias Hein

Papers citing "Square Attack: a query-efficient black-box adversarial attack via random search"

50 / 231 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 37 0 0 21 Dec 2023
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness Xiaoyun Xu Shujian Yu Jingzheng Wu S. Picek AAML 37 0 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
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
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness Boya Zhang Weijian Luo Zhihua Zhang 36 10 0 28 Oct 2023
PubDef: Defending Against Transfer Attacks From Public Models Chawin Sitawarin Jaewon Chang David Huang Wesson Altoyan David Wagner AAML 41 6 0 26 Oct 2023
Assessing Robustness via Score-Based Adversarial Image Generation Marcel Kollovieh Lukas Gosch Yan Scholten Marten Lienen Leo Schwinn Stephan Günnemann DiffM 48 5 0 06 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 42 16 0 01 Oct 2023
Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff Satoshi Suzuki Shin'ya Yamaguchi Shoichiro Takeda Sekitoshi Kanai Naoki Makishima Atsushi Ando Ryo Masumura AAML 36 5 0 31 Aug 2023
Adversarial Illusions in Multi-Modal Embeddings Tingwei Zhang Rishi Jha Eugene Bagdasaryan Vitaly Shmatikov AAML 36 8 0 22 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 24 3 0 30 Jul 2023
Towards Generic and Controllable Attacks Against Object Detection Guopeng Li Yue Xu Jian Ding Guisong Xia AAML 42 6 0 23 Jul 2023
Towards Building More Robust Models with Frequency Bias Qingwen Bu Dong Huang Heming Cui AAML 19 10 0 19 Jul 2023
Group Orthogonalization Regularization For Vision Models Adaptation and Robustness Yoav Kurtz Noga Bar Raja Giryes 32 0 0 16 Jun 2023
NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations Y. Fu Ye Yuan Souvik Kundu Shang Wu Shunyao Zhang Yingyan Lin AAML 68 6 0 10 Jun 2023
Graph-based methods coupled with specific distributional distances for adversarial attack detection dwight nwaigwe Lucrezia Carboni Martial Mermillod Sophie Achard M. Dojat AAML 37 3 0 31 May 2023
Data Redaction from Conditional Generative Models Zhifeng Kong Kamalika Chaudhuri KELM 26 7 0 18 May 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 57 51 0 18 May 2023
Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks Ferheen Ayaz Idris Zakariyya José Cano S. Keoh Jeremy Singer D. Pau Mounia Kharbouche-Harrari 23 5 0 25 Apr 2023
Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning Y. Fu Ye Yuan Shang Wu Jiayi Yuan Yingyan Lin OOD 69 3 0 24 Apr 2023
LSFSL: Leveraging Shape Information in Few-shot Learning Deepan Padmanabhan Shruthi Gowda Elahe Arani Bahram Zonooz 33 6 0 13 Apr 2023
Overload: Latency Attacks on Object Detection for Edge Devices Erh-Chung Chen Pin-Yu Chen I-Hsin Chung Che-Rung Lee AAML 49 12 0 11 Apr 2023
Improving Fast Adversarial Training with Prior-Guided Knowledge Xiaojun Jia Yong Zhang Xingxing Wei Baoyuan Wu Ke Ma Jue Wang Xiaochun Cao AAML 41 26 0 01 Apr 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
Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness Wei Wei Jiahuan Zhou Yingying Wu AAML 20 0 0 29 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 30 92 0 27 Mar 2023
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection Nicola Franco Daniel Korth J. Lorenz Karsten Roscher Stephan Guennemann 33 5 0 27 Mar 2023
CAT:Collaborative Adversarial Training Xingbin Liu Huafeng Kuang Xianming Lin Yongjian Wu Rongrong Ji AAML 27 4 0 27 Mar 2023
AdvCheck: Characterizing Adversarial Examples via Local Gradient Checking Ruoxi Chen Haibo Jin Jinyin Chen Haibin Zheng AAML 16 0 0 25 Mar 2023
Optimization and Optimizers for Adversarial Robustness Hengyue Liang Buyun Liang Le Peng Ying Cui Tim Mitchell Ju Sun AAML 30 5 0 23 Mar 2023
An Extended Study of Human-like Behavior under Adversarial Training Paul Gavrikov J. Keuper Margret Keuper AAML 34 9 0 22 Mar 2023
Randomized Adversarial Training via Taylor Expansion Gao Jin Xinping Yi Dengyu Wu Ronghui Mu Xiaowei Huang AAML 46 34 0 19 Mar 2023
Fuzziness-tuned: Improving the Transferability of Adversarial Examples Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML 39 0 0 17 Mar 2023
Adversarial Counterfactual Visual Explanations Guillaume Jeanneret Loïc Simon F. Jurie DiffM 43 27 0 17 Mar 2023
Can Adversarial Examples Be Parsed to Reveal Victim Model Information? Yuguang Yao Jiancheng Liu Yifan Gong Xiaoming Liu Yanzhi Wang Xinyu Lin Sijia Liu AAML MLAU 42 1 0 13 Mar 2023
A Unified Algebraic Perspective on Lipschitz Neural Networks Alexandre Araujo Aaron J. Havens Blaise Delattre A. Allauzen Bin Hu AAML 41 53 0 06 Mar 2023
Delving into the Adversarial Robustness of Federated Learning Jie M. Zhang Bo Li Chen Chen Lingjuan Lyu Shuang Wu Shouhong Ding Chao Wu FedML 43 34 0 19 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 49 21 0 19 Feb 2023
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection Xilie Xu Jingfeng Zhang Feng Liu Masashi Sugiyama Mohan S. Kankanhalli AAML 26 16 0 08 Feb 2023
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks Salah Ghamizi Jingfeng Zhang Maxime Cordy Mike Papadakis Masashi Sugiyama Yves Le Traon AAML 36 2 0 06 Feb 2023
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks Shashank Agnihotri Steffen Jung Margret Keuper AAML 39 21 0 04 Feb 2023
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense Zunzhi You Daochang Liu Bohyung Han Chang Xu AAML VLM 56 4 0 02 Feb 2023
Language-Driven Anchors for Zero-Shot Adversarial Robustness Xiao-Li Li Wei Emma Zhang Yining Liu Zhan Hu Bo Zhang Xiaolin Hu 36 8 0 30 Jan 2023
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing Yatong Bai Brendon G. Anderson Aerin Kim Somayeh Sojoudi AAML 41 18 0 29 Jan 2023
Phase-shifted Adversarial Training Yeachan Kim Seongyeon Kim Ihyeok Seo Bonggun Shin AAML OOD 29 0 0 12 Jan 2023
On the Robustness of AlphaFold: A COVID-19 Case Study Ismail R. Alkhouri Sumit Kumar Jha Andre Beckus George Atia Alvaro Velasquez Rickard Ewetz Arvind Ramanathan Susmit Jha AAML 33 3 0 10 Jan 2023
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 49 2 0 03 Jan 2023
Generalizable Black-Box Adversarial Attack with Meta Learning Fei Yin Yong Zhang Baoyuan Wu Yan Feng Jingyi Zhang Yanbo Fan Yujiu Yang AAML 36 27 0 01 Jan 2023
Guidance Through Surrogate: Towards a Generic Diagnostic Attack Muzammal Naseer Salman Khan Fatih Porikli Fahad Shahbaz Khan AAML 28 1 0 30 Dec 2022
Alternating Objectives Generates Stronger PGD-Based Adversarial Attacks Nikolaos Antoniou Efthymios Georgiou Alexandros Potamianos AAML 31 5 0 15 Dec 2022