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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
Tropical Decision Boundaries for Neural Networks Are Robust Against Adversarial Attacks Kurt Pasque Christopher Teska Ruriko Yoshida Keiji Miura Jefferson Huang AAML 105 2 0 01 Feb 2024
Benchmarking Transferable Adversarial Attacks Zhibo Jin Jiayu Zhang Zhiyu Zhu Huaming Chen AAML 96 5 0 01 Feb 2024
Comparing Spectral Bias and Robustness For Two-Layer Neural Networks: SGD vs Adaptive Random Fourier Features Aku Kammonen Lisi Liang Anamika Pandey Raúl Tempone 89 3 0 01 Feb 2024
Benchmarking Spiking Neural Network Learning Methods with Varying Locality Jiaqi Lin Sen Lu Malyaban Bal Abhronil Sengupta 67 2 0 01 Feb 2024
Manipulating Predictions over Discrete Inputs in Machine Teaching Xiaodong Wu Yufei Han H. Dahrouj Jianbing Ni Zhenwen Liang Xiangliang Zhang 74 0 0 31 Jan 2024
Unified Physical-Digital Face Attack Detection Hao Fang Ajian Liu Haocheng Yuan Junze Zheng Dingheng Zeng ... Jiankang Deng Sergio Escalera Xiaoming Liu Jun Wan Zhen Lei CVBM AAML 107 15 0 31 Jan 2024
AdvGPS: Adversarial GPS for Multi-Agent Perception Attack Jinlong Li Baolu Li Xinyu Liu Jianwu Fang Felix Juefei Xu Qing Guo Hongkai Yu 80 5 0 30 Jan 2024
Towards Assessing the Synthetic-to-Measured Adversarial Vulnerability of SAR ATR Bowen Peng Bo Peng Jingyuan Xia Tianpeng Liu Yongxiang Liu Li Liu AAML 74 6 0 30 Jan 2024
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization Guang Lin Chao Li Jianhai Zhang Toshihisa Tanaka Qibin Zhao 124 15 0 29 Jan 2024
LESSON: Multi-Label Adversarial False Data Injection Attack for Deep Learning Locational Detection Jiwei Tian Chao Shen Buhong Wang Xiaofang Xia Meng Zhang Chenhao Lin Qian Li 78 44 0 29 Jan 2024
Intriguing Equivalence Structures of the Embedding Space of Vision Transformers Shaeke Salman M. Shams Xiuwen Liu 104 6 0 28 Jan 2024
A Survey on Data Augmentation in Large Model Era Yue Zhou Chenlu Guo Xu Wang Yi-Ju Chang Yuan Wu LM&MA VLM 137 27 0 27 Jan 2024
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective Yue Xing Xiaofeng Lin Qifan Song Yi Tian Xu Belinda Zeng Guang Cheng SSL 71 0 0 26 Jan 2024
BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning Baoyuan Wu Hongrui Chen Ruotong Wang Zihao Zhu Shaokui Wei Danni Yuan Mingli Zhu Ke Xu Li Liu Chaoxiao Shen AAML ELM 137 11 0 26 Jan 2024
Set-Based Training for Neural Network Verification Lukas Koller Tobias Ladner Matthias Althoff AAML 116 2 0 26 Jan 2024
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training Shruthi Gowda Bahram Zonooz Elahe Arani AAML 94 3 0 26 Jan 2024
Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement Nuoyan Zhou Dawei Zhou Decheng Liu Xinbo Gao Nannan Wang AAML 88 0 0 26 Jan 2024
Black-Box Access is Insufficient for Rigorous AI Audits Stephen Casper Carson Ezell Charlotte Siegmann Noam Kolt Taylor Lynn Curtis ... Michael Gerovitch David Bau Max Tegmark David M. Krueger Dylan Hadfield-Menell AAML 159 96 0 25 Jan 2024
Friendly Attacks to Improve Channel Coding Reliability Anastasia Kurmukova Deniz Gunduz AAML 91 2 0 25 Jan 2024
Sparse and Transferable Universal Singular Vectors Attack Kseniia Kuvshinova Olga Tsymboi Ivan Oseledets AAML 73 0 0 25 Jan 2024
Conformal Prediction Sets Improve Human Decision Making Jesse C. Cresswell Yi Sui Bhargava Kumar Noël Vouitsis 188 19 0 24 Jan 2024
Can overfitted deep neural networks in adversarial training generalize? -- An approximation viewpoint Zhongjie Shi Fanghui Liu Yuan Cao Johan A. K. Suykens 78 0 0 24 Jan 2024
AdCorDA: Classifier Refinement via Adversarial Correction and Domain Adaptation Lulan Shen Ali Edalati Brett H. Meyer Warren Gross James J. Clark 68 0 0 24 Jan 2024
Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN Minsoo Kang Minkoo Kang Suhyun Kim 37 4 0 24 Jan 2024
RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees Xun Xian Ganghua Wang Xuan Bi Jayanth Srinivasa Ashish Kundu Mingyi Hong Jie Ding WIGM 58 5 0 23 Jan 2024
DAFA: Distance-Aware Fair Adversarial Training Hyungyu Lee Saehyung Lee Hyemi Jang Junsung Park Ho Bae Sungroh Yoon 65 7 0 23 Jan 2024
Open-Set Facial Expression Recognition Yuhang Zhang Yue Yao Xuannan Liu Lixiong Qin Wenjing Wang Weihong Deng CVBM 52 6 0 23 Jan 2024
Fast Adversarial Training against Textual Adversarial Attacks Yichen Yang Xin Liu Kun He AAML 54 4 0 23 Jan 2024
Robustness to distribution shifts of compressed networks for edge devices Lulan Shen Ali Edalati Brett H. Meyer Warren Gross James J. Clark 84 0 0 22 Jan 2024
A Training-Free Defense Framework for Robust Learned Image Compression Myungseo Song Jinyoung Choi Bohyung Han AAML 111 4 0 22 Jan 2024
Adversarial speech for voice privacy protection from Personalized Speech generation Shihao Chen Liping Chen Jie Zhang KongAik Lee Zhenhua Ling Lirong Dai AAML 53 1 0 22 Jan 2024
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them Chao-Jung Liu Boxi Chen Wei Shao Chris Zhang Kelvin Wong Yi Zhang 102 3 0 22 Jan 2024
Cloud-based XAI Services for Assessing Open Repository Models Under Adversarial Attacks Zerui Wang Yan Liu AAML 69 2 0 22 Jan 2024
Momentum-SAM: Sharpness Aware Minimization without Computational Overhead Marlon Becker Frederick Altrock Benjamin Risse 162 6 0 22 Jan 2024
Tight Verification of Probabilistic Robustness in Bayesian Neural Networks Ben Batten Mehran Hosseini A. Lomuscio AAML 67 6 0 21 Jan 2024
Efficient local linearity regularization to overcome catastrophic overfitting Elias Abad Rocamora Fanghui Liu Grigorios G. Chrysos Pablo M. Olmos Volkan Cevher AAML 76 6 0 21 Jan 2024
Adversarial Augmentation Training Makes Action Recognition Models More Robust to Realistic Video Distribution Shifts Kiyoon Kim Shreyank N. Gowda Panagiotis Eustratiadis Antreas Antoniou Robert B Fisher 113 2 0 21 Jan 2024
Susceptibility of Adversarial Attack on Medical Image Segmentation Models Zhongxuan Wang Leo Xu MedIm AAML 70 1 0 20 Jan 2024
Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images Kuofeng Gao Yang Bai Jindong Gu Shu-Tao Xia Philip Torr Zhifeng Li Wei Liu VLM 98 47 0 20 Jan 2024
CARE: Ensemble Adversarial Robustness Evaluation Against Adaptive Attackers for Security Applications Hangsheng Zhang Jiqiang Liu Jinsong Dong AAML 69 1 0 20 Jan 2024
The Surprising Harmfulness of Benign Overfitting for Adversarial Robustness Yifan Hao Tong Zhang AAML 156 5 0 19 Jan 2024
Explainable and Transferable Adversarial Attack for ML-Based Network Intrusion Detectors Hangsheng Zhang Dongqi Han Yinlong Liu Zhiliang Wang Jiyan Sun Shangyuan Zhuang Jiqiang Liu Jinsong Dong AAML 65 6 0 19 Jan 2024
FIMBA: Evaluating the Robustness of AI in Genomics via Feature Importance Adversarial Attacks Heorhii Skovorodnikov Hoda AlKhzaimi AAML 88 3 0 19 Jan 2024
PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks Ping Guo Xiang Li Zhiyuan Yang Xi Lin Qingchuan Zhao Qingfu Zhang AAML 109 4 0 19 Jan 2024
Differentially Private and Adversarially Robust Machine Learning: An Empirical Evaluation Janvi Thakkar Giulio Zizzo S. Maffeis AAML 42 0 0 18 Jan 2024
Hacking Predictors Means Hacking Cars: Using Sensitivity Analysis to Identify Trajectory Prediction Vulnerabilities for Autonomous Driving Security Marsalis T. Gibson David Babazadeh Claire Tomlin S. Shankar Sastry AAML 113 0 0 18 Jan 2024
Adapters Mixup: Mixing Parameter-Efficient Adapters to Enhance the Adversarial Robustness of Fine-tuned Pre-trained Text Classifiers Tuc Nguyen Thai Le AAML SILM MoE 112 2 0 18 Jan 2024
Cross-Modality Perturbation Synergy Attack for Person Re-identification Yunpeng Gong Zhun Zhong Zhiming Luo Yansong Qu Rongrong Ji Min Jiang AAML 139 26 0 18 Jan 2024
ContextMix: A context-aware data augmentation method for industrial visual inspection systems Hyungmin Kim Donghun Kim Pyunghwan Ahn Sungho Suh Hansang Cho Junmo Kim 74 2 0 18 Jan 2024
Improving Local Training in Federated Learning via Temperature Scaling Kichang Lee Songkuk Kim Jeonggil Ko FedML 80 1 0 18 Jan 2024