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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
TPatch: A Triggered Physical Adversarial Patch Wenjun Zhu Xiaoyu Ji Yushi Cheng Shibo Zhang Wei Dong AAML 113 27 0 30 Dec 2023
AIJack: Let's Hijack AI! Security and Privacy Risk Simulator for Machine Learning Hideaki Takahashi SILM 84 2 0 29 Dec 2023
Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training Dongfang Li Baotian Hu Qingcai Chen Shan He 78 6 0 29 Dec 2023
MVPatch: More Vivid Patch for Adversarial Camouflaged Attacks on Object Detectors in the Physical World Zheng Zhou Hong Zhao Ju Liu Qiaosheng Zhang Liwei Geng Shuchang Lyu W. Feng AAML 87 2 0 29 Dec 2023
Can you See me? On the Visibility of NOPs against Android Malware Detectors Diego Soi Davide Maiorca Giorgio Giacinto Harel Berger AAML 41 0 0 28 Dec 2023
Explainability-Based Adversarial Attack on Graphs Through Edge Perturbation Dibaloke Chanda Saba Heidari Gheshlaghi Nasim Yahya Soltani AAML 64 1 0 28 Dec 2023
Attack Tree Analysis for Adversarial Evasion Attacks Yuki Yamaguchi Toshiaki Aoki AAML 92 0 0 28 Dec 2023
DOEPatch: Dynamically Optimized Ensemble Model for Adversarial Patches Generation Wenyi Tan Yang Li Chenxing Zhao Zhunga Liu Quanbiao Pan AAML 103 3 0 28 Dec 2023
Adversarial Attacks on Image Classification Models: Analysis and Defense Jaydip Sen Abhiraj Sen Ananda Chatterjee AAML 56 4 0 28 Dec 2023
Layer Attack Unlearning: Fast and Accurate Machine Unlearning via Layer Level Attack and Knowledge Distillation Hyunjune Kim Sangyong Lee Simon S. Woo AAML MU 56 8 0 28 Dec 2023
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks Meixi Zheng Xuanchen Yan Zihao Zhu Hongrui Chen Baoyuan Wu ELM MLAU AAML 101 8 0 28 Dec 2023
Adversarial Attacks on LoRa Device Identification and Rogue Signal Detection with Deep Learning Y. Sagduyu T. Erpek 48 3 0 27 Dec 2023
Natural Adversarial Patch Generation Method Based on Latent Diffusion Model Xianyi Chen Fazhan Liu Dong Jiang Kai Yan AAML DiffM 57 1 0 27 Dec 2023
Robustness Verification for Knowledge-Based Logic of Risky Driving Scenes Xia Wang Anda Liang Jonathan Sprinkle Taylor T. Johnson 63 4 0 27 Dec 2023
Robust Survival Analysis with Adversarial Regularization Owen Howell Stefano Maxenti Michael Everett AAML 101 0 0 26 Dec 2023
GanFinger: GAN-Based Fingerprint Generation for Deep Neural Network Ownership Verification Huali Ren Anli Yan Xiaojun Ren Peigen Ye Chong-zhi Gao Zhili Zhou Jin Li 80 1 0 25 Dec 2023
Pre-trained Trojan Attacks for Visual Recognition Aishan Liu Xinwei Zhang Yisong Xiao Yuguang Zhou Siyuan Liang Jiakai Wang Xianglong Liu Xiaochun Cao Dacheng Tao AAML 121 30 0 23 Dec 2023
HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings Nikhil Mehta Kevin J. Liang Jing Huang Fu-Jen Chu Li Yin Tal Hassner OODD 90 2 0 22 Dec 2023
How Smooth Is Attention? Valérie Castin Pierre Ablin Gabriel Peyré AAML 117 11 0 22 Dec 2023
AdvCloak: Customized Adversarial Cloak for Privacy Protection Xuannan Liu Yaoyao Zhong Xingchen Cui Yuhang Zhang Peipei Li Weihong Deng PICV 60 2 0 22 Dec 2023
Elevating Defenses: Bridging Adversarial Training and Watermarking for Model Resilience Janvi Thakkar Giulio Zizzo S. Maffeis AAML 44 1 0 21 Dec 2023
AutoAugment Input Transformation for Highly Transferable Targeted Attacks Haobo Lu Xin Liu Kun He AAML 69 0 0 21 Dec 2023
MFABA: A More Faithful and Accelerated Boundary-based Attribution Method for Deep Neural Networks Zhiyu Zhu Huaming Chen Jiayu Zhang Xinyi Wang Zhibo Jin Minhui Xue Dongxiao Zhu Kim-Kwang Raymond Choo FAtt 70 11 0 21 Dec 2023
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples Ruichu Cai Yuxuan Zhu Jie Qiao Zefeng Liang Furui Liu Zhifeng Hao CML 108 5 0 21 Dec 2023
ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural Networks Peng Zhao Jiehua Zhang Bowen Peng Longguang Wang Yingmei Wei Yu Liu Li Liu AAML 86 0 0 21 Dec 2023
LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate Tao Wu Tie Luo D. C. Wunsch 99 6 0 20 Dec 2023
PGN: A perturbation generation network against deep reinforcement learning Xiangjuan Li Feifan Li Yang Li Quanbiao Pan AAML 60 2 0 20 Dec 2023
RadEdit: stress-testing biomedical vision models via diffusion image editing Fernando Pérez-García Sam Bond-Taylor Pedro P. Sanchez B. V. Breugel Daniel Coelho De Castro ... M. Lungren A. Nori Javier Alvarez-Valle Ozan Oktay Maximilian Ilse MedIm 135 11 0 20 Dec 2023
Mutual-modality Adversarial Attack with Semantic Perturbation Jingwen Ye Ruonan Yu Songhua Liu Xinchao Wang AAML 103 10 0 20 Dec 2023
Towards Efficient Verification of Quantized Neural Networks Pei Huang Haoze Wu Yuting Yang Ieva Daukantas Min Wu Yedi Zhang Clark W. Barrett MQ 86 12 0 20 Dec 2023
Generator Assisted Mixture of Experts For Feature Acquisition in Batch Vedang Asgaonkar Aditya Jain Abir De 46 1 0 19 Dec 2023
Adversarial AutoMixup Huafeng Qin Xin Jin Yun Jiang M. El-Yacoubi Xinbo Gao AAML 124 12 0 19 Dec 2023
Layerwise complexity-matched learning yields an improved model of cortical area V2 Nikhil Parthasarathy Olivier J. Hénaff Eero P. Simoncelli 90 1 0 18 Dec 2023
The Ultimate Combo: Boosting Adversarial Example Transferability by Composing Data Augmentations Zebin Yun Achi-Or Weingarten Eyal Ronen Mahmood Sharif 71 2 0 18 Dec 2023
Adv-Diffusion: Imperceptible Adversarial Face Identity Attack via Latent Diffusion Model Decheng Liu Xijun Wang Chunlei Peng Nannan Wang Ruimin Hu Xinbo Gao DiffM AAML 51 17 0 18 Dec 2023
Compositional Generalization for Multi-label Text Classification: A Data-Augmentation Approach Xiangyu Chu Zhuang Li Jiahui Liu Lei Chen Yuanpei Cai Donghong Ji K. W. S. Au 117 12 0 18 Dec 2023
The Pros and Cons of Adversarial Robustness Yacine Izza Sasha Rubin AAML 52 1 0 18 Dec 2023
Robust Node Representation Learning via Graph Variational Diffusion Networks Jun Zhuang M. A. Hasan 71 7 0 18 Dec 2023
UltraClean: A Simple Framework to Train Robust Neural Networks against Backdoor Attacks Bingyin Zhao Yingjie Lao AAML 74 1 0 17 Dec 2023
Anomaly Score: Evaluating Generative Models and Individual Generated Images based on Complexity and Vulnerability Ian Ryu Junghyuk Lee Jong-Seok Lee EGVM 106 2 0 17 Dec 2023
Rethinking Robustness of Model Attributions Sandesh Kamath Sankalp Mittal Amit Deshpande Vineeth N. Balasubramanian 87 2 0 16 Dec 2023
Robust Communicative Multi-Agent Reinforcement Learning with Active Defense Lebin Yu Yunbo Qiu Quanming Yao Yuan Shen Xudong Zhang Jian Wang AAML 47 3 0 16 Dec 2023
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off Yuansan Liu Ruqing Zhang Mingkun Zhang Wei Chen Maarten de Rijke Jiafeng Guo Xueqi Cheng AAML 63 10 0 16 Dec 2023
LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer Yuxin Cao Ziyu Zhao Xi Xiao Derui Wang Minhui Xue Jin Lu AAML 95 4 0 15 Dec 2023
Fragility, Robustness and Antifragility in Deep Learning Chandresh Pravin Ivan Martino Giuseppe Nicosia Varun Ojha 83 0 0 15 Dec 2023
Towards Transferable Targeted 3D Adversarial Attack in the Physical World Yao Huang Yinpeng Dong Shouwei Ruan Xiao Yang Hang Su Xingxing Wei DiffM 87 18 0 15 Dec 2023
Adversarial Robustness on Image Classification with $k$ -means Rollin Omari Junae Kim Paul Montague OOD VLM 47 0 0 15 Dec 2023
SeiT++: Masked Token Modeling Improves Storage-efficient Training Min-Seob Lee Song Park Byeongho Heo Dongyoon Han Hyunjung Shim MQ VLM 76 1 0 15 Dec 2023
Continual Adversarial Defense Qian Wang Yaoyao Liu Hefei Ling Yingwei Li Qihao Liu Ping Li AAML 170 4 0 15 Dec 2023
Exploring Transferability for Randomized Smoothing Kai Qiu Huishuai Zhang Zhirong Wu Stephen Lin AAML 50 1 0 14 Dec 2023