Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack

3 July 2019

Matthias Hein

Papers citing "Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack"

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Title
Cert-SSB: Toward Certified Sample-Specific Backdoor Defense Ting Qiao Y. Wang Xing Liu Sixing Wu Jianbing Li Yiming Li AAML SILM 66 0 0 30 Apr 2025
Evolution-based Region Adversarial Prompt Learning for Robustness Enhancement in Vision-Language Models X. Jia Sensen Gao Simeng Qin Ke Ma X. Li Yihao Huang Wei Dong Yang Liu Xiaochun Cao AAML VLM 60 0 0 17 Mar 2025
Nearshore Underwater Target Detection Meets UAV-borne Hyperspectral Remote Sensing: A Novel Hybrid-level Contrastive Learning Framework and Benchmark Dataset Jiahao Qi Chuanhong Zhou Xingyue Liu Chen Chen Dehui Zhu Kangcheng Bin Ping Zhong 74 0 0 21 Feb 2025
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness Emanuele Ballarin A. Ansuini Luca Bortolussi AAML 62 0 0 20 Feb 2025
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework Ping Guo Cheng Gong Xi Victoria Lin Fei Liu Zhichao Lu Qingfu Zhang Zhenkun Wang AAML 45 0 0 13 Jan 2025
RobustBlack: Challenging Black-Box Adversarial Attacks on State-of-the-Art Defenses Mohamed Djilani Salah Ghamizi Maxime Cordy 43 0 0 31 Dec 2024
Standard-Deviation-Inspired Regularization for Improving Adversarial Robustness Olukorede Fakorede Modeste Atsague Jin Tian AAML 37 0 0 31 Dec 2024
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks Yong Xie Weijie Zheng Hanxun Huang Guangnan Ye Xingjun Ma AAML 72 1 0 20 Nov 2024
Natural Language Induced Adversarial Images Xiaopei Zhu Peiyang Xu Guanning Zeng Yingpeng Dong Xiaolin Hu AAML 28 0 0 11 Oct 2024
Accurate Forgetting for All-in-One Image Restoration Model Xin Su Zhuoran Zheng CLL 26 1 0 01 Sep 2024
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness Kejia Zhang Juanjuan Weng Yuanzheng Cai Zhiming Luo Shaozi Li AAML 59 0 0 04 Jul 2024
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers Jonas Ngnawé Sabyasachi Sahoo Y. Pequignot Frédéric Precioso Christian Gagné AAML 39 0 0 26 Jun 2024
Harmonizing Feature Maps: A Graph Convolutional Approach for Enhancing Adversarial Robustness Kejia Zhang Juanjuan Weng Junwei Wu Guoqing Yang Shaozi Li Zhiming Luo AAML 43 1 0 17 Jun 2024
Improving Adversarial Robustness via Decoupled Visual Representation Masking Decheng Liu Tao Chen Chunlei Peng Nannan Wang Ruimin Hu Xinbo Gao AAML 42 1 0 16 Jun 2024
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples Antonio Emanuele Cinà Jérôme Rony Maura Pintor Luca Demetrio Ambra Demontis Battista Biggio Ismail Ben Ayed Fabio Roli ELM AAML SILM 44 6 0 30 Apr 2024
Struggle with Adversarial Defense? Try Diffusion Yujie Li Yanbin Wang Haitao Xu Bin Liu Jianguo Sun Zhenhao Guo Wenrui Ma DiffM 29 1 0 12 Apr 2024
Theoretical Understanding of Learning from Adversarial Perturbations Soichiro Kumano Hiroshi Kera Toshihiko Yamasaki AAML 31 1 0 16 Feb 2024
A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense Ryota Iijima Sayaka Shiota Hitoshi Kiya 30 6 0 11 Feb 2024
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training Shruthi Gowda Bahram Zonooz Elahe Arani AAML 31 2 0 26 Jan 2024
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness Xiaoyun Xu Shujian Yu Jingzheng Wu S. Picek AAML 35 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
On The Relationship Between Universal Adversarial Attacks And Sparse Representations Dana Weitzner Raja Giryes AAML 26 0 0 14 Nov 2023
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness Boya Zhang Weijian Luo Zhihua Zhang 29 10 0 28 Oct 2023
Assessing Robustness via Score-Based Adversarial Image Generation Marcel Kollovieh Lukas Gosch Yan Scholten Marten Lienen Leo Schwinn Stephan Günnemann DiffM 35 4 0 06 Oct 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization Mahyar Fazlyab Taha Entesari Aniket Roy Ramalingam Chellappa AAML 16 11 0 29 Sep 2023
Towards Building More Robust Models with Frequency Bias Qingwen Bu Dong Huang Heming Cui AAML 15 10 0 19 Jul 2023
Group Orthogonalization Regularization For Vision Models Adaptation and Robustness Yoav Kurtz Noga Bar Raja Giryes 24 0 0 16 Jun 2023
On the Importance of Backbone to the Adversarial Robustness of Object Detectors Xiao-Li Li Hang Chen Xiaolin Hu AAML 38 4 0 27 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 37 49 0 18 May 2023
Improving Fast Adversarial Training with Prior-Guided Knowledge Xiaojun Jia Yong Zhang Xingxing Wei Baoyuan Wu Ke Ma Jue Wang Xiaochun Cao AAML 21 26 0 01 Apr 2023
Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness Wei Wei Jiahuan Zhou Yingying Wu AAML 13 0 0 29 Mar 2023
CAT:Collaborative Adversarial Training Xingbin Liu Huafeng Kuang Xianming Lin Yongjian Wu Rongrong Ji AAML 19 4 0 27 Mar 2023
An Extended Study of Human-like Behavior under Adversarial Training Paul Gavrikov J. Keuper M. Keuper AAML 28 9 0 22 Mar 2023
Randomized Adversarial Training via Taylor Expansion Gao Jin Xinping Yi Dengyu Wu Ronghui Mu Xiaowei Huang AAML 41 34 0 19 Mar 2023
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks Salah Ghamizi Jingfeng Zhang Maxime Cordy Mike Papadakis Masashi Sugiyama Yves Le Traon AAML 17 2 0 06 Feb 2023
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing Yatong Bai Brendon G. Anderson Aerin Kim Somayeh Sojoudi AAML 30 18 0 29 Jan 2023
Phase-shifted Adversarial Training Yeachan Kim Seongyeon Kim Ihyeok Seo Bonggun Shin AAML OOD 24 0 0 12 Jan 2023
ExploreADV: Towards exploratory attack for Neural Networks Tianzuo Luo Yuyi Zhong S. Khoo AAML 22 1 0 01 Jan 2023
Guidance Through Surrogate: Towards a Generic Diagnostic Attack Muzammal Naseer Salman Khan Fatih Porikli F. Khan AAML 20 1 0 30 Dec 2022
Alternating Objectives Generates Stronger PGD-Based Adversarial Attacks Nikolaos Antoniou Efthymios Georgiou Alexandros Potamianos AAML 27 5 0 15 Dec 2022
Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting Peng-Fei Hou Jie Han Xingyu Li AAML OOD 21 11 0 26 Oct 2022
Causal Information Bottleneck Boosts Adversarial Robustness of Deep Neural Network Hua Hua Jun Yan Xi Fang Weiquan Huang Huilin Yin Wancheng Ge AAML 22 1 0 25 Oct 2022
Scaling Adversarial Training to Large Perturbation Bounds Sravanti Addepalli Samyak Jain Gaurang Sriramanan R. Venkatesh Babu AAML 30 22 0 18 Oct 2022
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture Yi Mo Dongxian Wu Yifei Wang Yiwen Guo Yisen Wang ViT 39 52 0 14 Oct 2022
Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization Ziquan Liu Antoni B. Chan AAML 25 5 0 11 Oct 2022
Strength-Adaptive Adversarial Training Chaojian Yu Dawei Zhou Li Shen Jun Yu Bo Han Mingming Gong Nannan Wang Tongliang Liu OOD 17 2 0 04 Oct 2022
Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training Saehyung Lee Hyungyu Lee AAML 29 2 0 27 Sep 2022
A Light Recipe to Train Robust Vision Transformers Edoardo Debenedetti Vikash Sehwag Prateek Mittal ViT 29 68 0 15 Sep 2022
On the Transferability of Adversarial Examples between Encrypted Models Miki Tanaka Isao Echizen Hitoshi Kiya SILM 26 4 0 07 Sep 2022