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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
Medi-CAT: Contrastive Adversarial Training for Medical Image Classification Pervaiz Iqbal Khan Andreas Dengel Sheraz Ahmed MedIm 79 3 0 31 Oct 2023
Amoeba: Circumventing ML-supported Network Censorship via Adversarial Reinforcement Learning Haoyu Liu A. Diallo P. Patras AAML 45 3 0 31 Oct 2023
A Low-cost Strategic Monitoring Approach for Scalable and Interpretable Error Detection in Deep Neural Networks Florian Geissler S. Qutub Michael Paulitsch Karthik Pattabiraman 58 6 0 31 Oct 2023
Verification of Neural Networks Local Differential Classification Privacy Roie Reshef Anan Kabaha Olga Seleznova Dana Drachsler-Cohen AAML 76 2 0 31 Oct 2023
LFAA: Crafting Transferable Targeted Adversarial Examples with Low-Frequency Perturbations Kunyu Wang Juluan Shi Wenxuan Wang AAML 69 6 0 31 Oct 2023
Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models Preetam Prabhu Srikar Dammu Yunhe Feng Chirag Shah 107 1 0 30 Oct 2023
Exploring Geometry of Blind Spots in Vision Models S. Balasubramanian Gaurang Sriramanan Vinu Sankar Sadasivan Soheil Feizi AAML 69 2 0 30 Oct 2023
Adversarial Attacks and Defenses in Large Language Models: Old and New Threats Leo Schwinn David Dobre Stephan Günnemann Gauthier Gidel AAML ELM 102 41 0 30 Oct 2023
Asymmetric Diffusion Based Channel-Adaptive Secure Wireless Semantic Communications Xintian Ren Jun Wu Hansong Xu Qianqian Pan DiffM 66 2 0 30 Oct 2023
Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness A. Ehyaei G. Farnadi Samira Samadi 98 1 0 30 Oct 2023
Deep anytime-valid hypothesis testing T. Pandeva Patrick Forré Aaditya Ramdas S. Shekhar 72 5 0 30 Oct 2023
Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective Yifei Wang Liangchen Li Jiansheng Yang Zhouchen Lin Yisen Wang 71 15 0 30 Oct 2023
Flow-based Distributionally Robust Optimization Chen Xu Jonghyeok Lee Xiuyuan Cheng Yao Xie OOD 124 5 0 30 Oct 2023
A Unique Training Strategy to Enhance Language Models Capabilities for Health Mention Detection from Social Media Content Pervaiz Iqbal Khan Muhammad Nabeel Asim Andreas Dengel Sheraz Ahmed 40 1 0 29 Oct 2023
Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors Han Liu Xingshuo Huang Xiaotong Zhang Qimai Li Fenglong Ma Wen Wang Hongyang Chen Hong Yu Xianchao Zhang AAML 82 2 0 29 Oct 2023
Blacksmith: Fast Adversarial Training of Vision Transformers via a Mixture of Single-step and Multi-step Methods Mahdi Salmani Alireza Dehghanpour Farashah Mohammad Azizmalayeri Mahdi Amiri Navid Eslami M. T. Manzuri M. Rohban AAML 59 1 0 29 Oct 2023
Adversarial Examples Are Not Real Features Ang Li Yifei Wang Yiwen Guo Yisen Wang 93 13 0 29 Oct 2023
RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial Data Manipulation Dzung Pham Shreyas Kulkarni Amir Houmansadr 94 0 0 29 Oct 2023
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness Boya Zhang Weijian Luo Zhihua Zhang 75 12 0 28 Oct 2023
A General Framework for Robust G-Invariance in G-Equivariant Networks Sophia Sanborn Nina Miolane AAML OOD 84 4 0 28 Oct 2023
Understanding and Improving Ensemble Adversarial Defense Yian Deng Tingting Mu AAML 74 21 0 27 Oct 2023
LipSim: A Provably Robust Perceptual Similarity Metric Sara Ghazanfari Alexandre Araujo Prashanth Krishnamurthy Farshad Khorrami Siddharth Garg 120 7 0 27 Oct 2023
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification Mintong Kang Basel Alomair Yue Liu 105 32 0 27 Oct 2023
Artifact-Robust Graph-Based Learning in Digital Pathology Saba Heidari Gheshlaghi Milan Aryal Nasim Yahyasoltani Masoud Ganji OOD 113 0 0 27 Oct 2023
Unscrambling the Rectification of Adversarial Attacks Transferability across Computer Networks Ehsan Nowroozi Samaneh Ghelichkhani Imran Haider Ali Dehghantanha AAML 50 0 0 26 Oct 2023
PubDef: Defending Against Transfer Attacks From Public Models Chawin Sitawarin Jaewon Chang David Huang Wesson Altoyan David Wagner AAML 95 6 0 26 Oct 2023
A Survey on Transferability of Adversarial Examples across Deep Neural Networks Jindong Gu Xiaojun Jia Pau de Jorge Wenqain Yu Xinwei Liu ... Anjun Hu Ashkan Khakzar Zhijiang Li Xiaochun Cao Philip Torr AAML 120 31 0 26 Oct 2023
A minimax optimal control approach for robust neural ODEs Cristina Cipriani Alessandro Scagliotti Tobias Wöhrer AAML 84 4 0 26 Oct 2023
Instability of computer vision models is a necessary result of the task itself Oliver Turnbull G. Cevora AAML 16 0 0 26 Oct 2023
SoK: Pitfalls in Evaluating Black-Box Attacks Fnu Suya Anshuman Suri Tingwei Zhang Jingtao Hong Yuan Tian David Evans AAML 104 6 0 26 Oct 2023
CBD: A Certified Backdoor Detector Based on Local Dominant Probability Zhen Xiang Zidi Xiong Bo Li AAML 146 14 0 26 Oct 2023
Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation Kira Maag Asja Fischer AAML SSeg 73 4 0 26 Oct 2023
Codebook Features: Sparse and Discrete Interpretability for Neural Networks Alex Tamkin Mohammad Taufeeque Noah D. Goodman 87 29 0 26 Oct 2023
AI Hazard Management: A framework for the systematic management of root causes for AI risks Ronald Schnitzer Andreas Hapfelmeier Sven Gaube Sonja Zillner 69 3 0 25 Oct 2023
FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning Zhuo Huang Li Shen Jun-chen Yu Bo Han Tongliang Liu FedML 108 23 0 25 Oct 2023
Radio Frequency Fingerprinting via Deep Learning: Challenges and Opportunities Saeif Alhazbi Ahmed Mohamed Hussain Savio Sciancalepore Gabriele Oligeri P. Papadimitratos 58 9 0 25 Oct 2023
Defense Against Model Extraction Attacks on Recommender Systems Sixiao Zhang Hongzhi Yin Hongxu Chen Cheng Long AAML 94 6 0 25 Oct 2023
Corrupting Neuron Explanations of Deep Visual Features Divyansh Srivastava Tuomas P. Oikarinen Tsui-Wei Weng FAtt AAML 44 2 0 25 Oct 2023
Adversarial sample generation and training using geometric masks for accurate and resilient license plate character recognition Bishal Shrestha Griwan Khakurel Kritika Simkhada Badri Adhikari AAML 79 0 0 25 Oct 2023
Hierarchical Randomized Smoothing Yan Scholten Jan Schuchardt Aleksandar Bojchevski Stephan Günnemann AAML 129 5 0 24 Oct 2023
Momentum Gradient-based Untargeted Attack on Hypergraph Neural Networks Yang Chen S. Picek Zhonglin Ye Zhaoyang Wang Haixing Zhao 78 0 0 24 Oct 2023
Segue: Side-information Guided Generative Unlearnable Examples for Facial Privacy Protection in Real World Zhiling Zhang Jie Zhang Kui Zhang Wenbo Zhou Weiming Zhang Neng H. Yu 70 1 0 24 Oct 2023
Fast Propagation is Better: Accelerating Single-Step Adversarial Training via Sampling Subnetworks Xiaojun Jia Jianshu Li Jindong Gu Yang Bai Xiaochun Cao AAML 76 10 0 24 Oct 2023
Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms Anqi Mao M. Mohri Yutao Zhong 88 27 0 23 Oct 2023
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention Anqi Mao M. Mohri Yutao Zhong 57 24 0 23 Oct 2023
Semantic-Aware Adversarial Training for Reliable Deep Hashing Retrieval Xu Yuan Zheng Zhang Xunguang Wang Lin Wu AAML 64 11 0 23 Oct 2023
Diffusion-Based Adversarial Purification for Speaker Verification Yibo Bai Ju Liu Xuelong Li DiffM 74 3 0 22 Oct 2023
Imperceptible CMOS camera dazzle for adversarial attacks on deep neural networks Zvi Stein Adrian Stern AAML 62 0 0 22 Oct 2023
A comprehensive survey on deep active learning in medical image analysis Haoran Wang Q. Jin Shiman Li Siyu Liu Manning Wang Zhijian Song VLM 136 31 0 22 Oct 2023
LUNA: A Model-Based Universal Analysis Framework for Large Language Models Da Song Xuan Xie Jiayang Song Derui Zhu Yuheng Huang Felix Juefei Xu Lei Ma ALM 108 6 0 22 Oct 2023