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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
On the Trade-offs between Adversarial Robustness and Actionable Explanations Satyapriya Krishna Chirag Agarwal Himabindu Lakkaraju AAML 84 0 0 28 Sep 2023
Recent Advances of Differential Privacy in Centralized Deep Learning: A Systematic Survey Lea Demelius Roman Kern Andreas Trügler SyDa FedML 93 9 0 28 Sep 2023
Parameter-Saving Adversarial Training: Reinforcing Multi-Perturbation Robustness via Hypernetworks Huihui Gong Minjing Dong Siqi Ma S. Çamtepe Surya Nepal Chang Xu AAML OOD 55 1 0 28 Sep 2023
TraCE: Trajectory Counterfactual Explanation Scores Jeffrey N Clark Edward A. Small Nawid Keshtmand Michelle W.L. Wan Elena Fillola Mayoral Enrico Werner Christopher P Bourdeaux Raúl Santos-Rodríguez 83 1 0 27 Sep 2023
On the Computational Entanglement of Distant Features in Adversarial Machine Learning Yen-Lung Lai Xingbo Dong Zhe Jin AAML 76 0 0 27 Sep 2023
Defending Against Physical Adversarial Patch Attacks on Infrared Human Detection Lukas Strack Futa Waseda H. Nguyen Yinqiang Zheng Isao Echizen AAML 93 2 0 27 Sep 2023
Automatic Feature Fairness in Recommendation via Adversaries Hengchang Hu Yiming Cao Zhankui He Samson Tan Min-Yen Kan AAML FaML 28 2 0 27 Sep 2023
Privacy-preserving and Privacy-attacking Approaches for Speech and Audio -- A Survey Yuchen Liu Apu Kapadia Donald Williamson AAML 78 0 0 26 Sep 2023
Structure Invariant Transformation for better Adversarial Transferability Xiaosen Wang Zeliang Zhang Jianping Zhang AAML 78 68 0 26 Sep 2023
Gray-box Adversarial Attack of Deep Reinforcement Learning-based Trading Agents Foozhan Ataiefard Hadi Hemmati AAML 117 2 0 26 Sep 2023
Data Upcycling Knowledge Distillation for Image Super-Resolution Yun-feng Zhang Wei Li Simiao Li Hanting Chen Zhaopeng Tu Wenjun Wang Bingyi Jing Hai-lin Wang Jie Hu 83 3 0 25 Sep 2023
Single Image Test-Time Adaptation for Segmentation Klara Janouskova T. Shor Chaim Baskin Jirí Matas TTA OOD 125 3 0 25 Sep 2023
Adversarial Attacks on Video Object Segmentation with Hard Region Discovery P. Li Yu Zhang L. Yuan Jian Zhao Xianghua Xu Xiaoqing Zhang AAML VOS 80 15 0 25 Sep 2023
Combining Two Adversarial Attacks Against Person Re-Identification Systems E. D. Andrade Igor Garcia Ballhausen Sampaio Joris Guérin José Viterbo Filho AAML 100 0 0 24 Sep 2023
Improving Robustness of Deep Convolutional Neural Networks via Multiresolution Learning Hongyan Zhou Yao Liang OOD 128 0 0 24 Sep 2023
Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial Attacks Ao Zhang Yu Ran Weixuan Tang Yuan-Gen Wang 99 14 0 24 Sep 2023
Domain-Guided Conditional Diffusion Model for Unsupervised Domain Adaptation Yulong Zhang Shu Han Chen Weisen Jiang Yu Zhang Jiangang Lu James T. Kwok DiffM 73 7 0 23 Sep 2023
Order-preserving Consistency Regularization for Domain Adaptation and Generalization Mengmeng Jing Xiantong Zhen Jingjing Li Cees G. M. Snoek 100 4 0 23 Sep 2023
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations Hanjiang Hu Zuxin Liu Linyi Li Jiacheng Zhu Ding Zhao 65 0 0 22 Sep 2023
A Spectral Theory of Neural Prediction and Alignment Abdulkadir Canatar J. Feather Albert J. Wakhloo SueYeon Chung OOD 79 15 0 22 Sep 2023
Improving Machine Learning Robustness via Adversarial Training Long Dang T. Hapuarachchi Kaiqi Xiong Jing Lin OOD AAML 60 2 0 22 Sep 2023
How Robust is Google's Bard to Adversarial Image Attacks? Yinpeng Dong Huanran Chen Jiawei Chen Zhengwei Fang Xiaohu Yang Yichi Zhang Yu Tian Hang Su Jun Zhu AAML 120 116 0 21 Sep 2023
Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation Krishna Kanth Nakka Mathieu Salzmann DRL CoGe 81 2 0 20 Sep 2023
AudioFool: Fast, Universal and synchronization-free Cross-Domain Attack on Speech Recognition Mohamad Fakih R. Kanj Fadi J. Kurdahi M. Fouda AAML 53 0 0 20 Sep 2023
PRAT: PRofiling Adversarial aTtacks Rahul Ambati Naveed Akhtar Ajmal Mian Yogesh S Rawat AAML 55 1 0 20 Sep 2023
ModelGiF: Gradient Fields for Model Functional Distance Mingli Song Zhenxing Xu Sai Wu Gang Chen Mingli Song DiffM 80 5 0 20 Sep 2023
It's Simplex! Disaggregating Measures to Improve Certified Robustness Andrew C. Cullen Paul Montague Shijie Liu S. Erfani Benjamin I. P. Rubinstein 80 3 0 20 Sep 2023
What Learned Representations and Influence Functions Can Tell Us About Adversarial Examples Shakila Mahjabin Tonni Mark Dras TDI AAML GAN 62 0 0 19 Sep 2023
Adversarial Attacks Against Uncertainty Quantification Emanuele Ledda Daniele Angioni Giorgio Piras Giorgio Fumera Battista Biggio Fabio Roli AAML 102 3 0 19 Sep 2023
Language Guided Adversarial Purification Himanshu Singh A. V. Subramanyam AAML 78 2 0 19 Sep 2023
Transferable Adversarial Attack on Image Tampering Localization Yuqi Wang Gang Cao Zijie Lou Haochen Zhu AAML 63 2 0 19 Sep 2023
Dual Student Networks for Data-Free Model Stealing James Beetham Navid Kardan Ajmal Mian M. Shah 117 18 0 18 Sep 2023
Watch the Speakers: A Hybrid Continuous Attribution Network for Emotion Recognition in Conversation With Emotion Disentanglement Shanglin Lei Xiaoping Wang Guanting Dong Jiang Li Yingjian Liu 66 2 0 18 Sep 2023
Stealthy Physical Masked Face Recognition Attack via Adversarial Style Optimization Huihui Gong Minjing Dong Siqi Ma S. Çamtepe Surya Nepal Chang Xu AAML 52 4 0 18 Sep 2023
Reducing Adversarial Training Cost with Gradient Approximation Huihui Gong AAML 65 0 0 18 Sep 2023
Conditional Mutual Information Constrained Deep Learning for Classification En-Hui Yang Shayan Mohajer Hamidi Linfeng Ye Renhao Tan Beverly Yang 101 12 0 17 Sep 2023
Inverse classification with logistic and softmax classifiers: efficient optimization Miguel Á. Carreira-Perpiñán Suryabhan Singh Hada 52 1 0 16 Sep 2023
A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services Hongsheng Hu Shuo Wang Jiamin Chang Haonan Zhong Ruoxi Sun Shuang Hao Haojin Zhu Minhui Xue MU 83 30 0 15 Sep 2023
Text-to-Image Models for Counterfactual Explanations: a Black-Box Approach Guillaume Jeanneret Loïc Simon Frédéric Jurie DiffM 95 13 0 14 Sep 2023
Mitigating Adversarial Attacks in Federated Learning with Trusted Execution Environments Simon Queyrut V. Schiavoni Pascal Felber AAML FedML 74 10 0 13 Sep 2023
Differentiable JPEG: The Devil is in the Details Christoph Reich Biplob K. Debnath Deep Patel S. Chakradhar DiffM 108 10 0 13 Sep 2023
PhantomSound: Black-Box, Query-Efficient Audio Adversarial Attack via Split-Second Phoneme Injection Hanqing Guo Guangjing Wang Yuanda Wang Bocheng Chen Qiben Yan Li Xiao AAML 77 11 0 13 Sep 2023
Deep Nonparametric Convexified Filtering for Computational Photography, Image Synthesis and Adversarial Defense Jianqiao Wangni 84 0 0 13 Sep 2023
Using Reed-Muller Codes for Classification with Rejection and Recovery Daniel Fentham David Parker Mark Ryan 45 0 0 12 Sep 2023
Exploiting Machine Unlearning for Backdoor Attacks in Deep Learning System Peixin Zhang Jun Sun Mingtian Tan Xinyu Wang AAML 102 4 0 12 Sep 2023
Adversarial Attacks Assessment of Salient Object Detection via Symbolic Learning Gustavo Olague Roberto Pineda Gerardo Ibarra-Vázquez Matthieu Olague Axel Martinez Sambit Bakshi Jonathan Vargas Isnardo Reducindo AAML 41 2 0 12 Sep 2023
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors Hongge Chen Zhao Chen Gregory P. Meyer Dennis Park Carl Vondrick Ashish Shrivastava Yuning Chai 3DPC 62 3 0 11 Sep 2023
Divergences in Color Perception between Deep Neural Networks and Humans E. Nadler Elise Darragh-Ford Bhargav Srinivasa Desikan Christian Conaway Mark Chu Tasker Hull Douglas Guilbeault 75 8 0 11 Sep 2023
Hazards in Deep Learning Testing: Prevalence, Impact and Recommendations Salah Ghamizi Maxime Cordy Yuejun Guo Mike Papadakis And Yves Le Traon 45 1 0 11 Sep 2023
Outlier Robust Adversarial Training Shu Hu Zhenhuan Yang X. Wang Yiming Ying Siwei Lyu AAML 80 9 0 10 Sep 2023