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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

50 / 8,361 papers shown

Title
Testing the Channels of Convolutional Neural Networks Kang Choi Donghyun Son Younghoon Kim Jiwon Seo 65 1 0 06 Mar 2023
Very fast, approximate counterfactual explanations for decision forests Miguel Á. Carreira-Perpiñán Suryabhan Singh Hada 49 4 0 06 Mar 2023
Adversarial Sampling for Fairness Testing in Deep Neural Network Tosin Ige William Marfo Justin Tonkinson Sikiru Adewale Bolanle Hafiz Matti OOD 46 9 0 06 Mar 2023
Visual Analytics of Neuron Vulnerability to Adversarial Attacks on Convolutional Neural Networks Yiran Li Junpeng Wang Takanori Fujiwara Kwan-Liu Ma AAML 44 6 0 06 Mar 2023
Consistent Valid Physically-Realizable Adversarial Attack against Crowd-flow Prediction Models Hassan Ali M. A. Butt F. Filali Ala I. Al-Fuqaha Junaid Qadir AAML 61 2 0 05 Mar 2023
Demystifying What Code Summarization Models Learned Yu Wang Ke Wang 127 0 0 04 Mar 2023
Improved Robustness Against Adaptive Attacks With Ensembles and Error-Correcting Output Codes Thomas Philippon Christian Gagné AAML 40 0 0 04 Mar 2023
Certified Robust Neural Networks: Generalization and Corruption Resistance Amine Bennouna Ryan Lucas Bart P. G. Van Parys 93 10 0 03 Mar 2023
Adversarial Attacks on Machine Learning in Embedded and IoT Platforms Christian Westbrook S. Pasricha AAML 69 3 0 03 Mar 2023
Multi-Agent Adversarial Training Using Diffusion Learning Ying Cao Elsa Rizk Stefan Vlaski Ali H. Sayed DiffM 109 4 0 03 Mar 2023
AdvART: Adversarial Art for Camouflaged Object Detection Attacks Amira Guesmi Ioan Marius Bilasco Mohamed Bennai Ihsen Alouani GAN AAML 89 21 0 03 Mar 2023
DeepLens: Interactive Out-of-distribution Data Detection in NLP Models D. Song Zhijie Wang Yuheng Huang Lei Ma Tianyi Zhang 56 4 0 02 Mar 2023
Feature Perturbation Augmentation for Reliable Evaluation of Importance Estimators in Neural Networks L. Brocki N. C. Chung FAtt AAML 91 11 0 02 Mar 2023
The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks Spencer Frei Gal Vardi Peter L. Bartlett Nathan Srebro 85 17 0 02 Mar 2023
APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation Amira Guesmi Muhammad Abdullah Hanif Ihsen Alouani Mohamed Bennai AAML 86 9 0 02 Mar 2023
AdvRain: Adversarial Raindrops to Attack Camera-based Smart Vision Systems Amira Guesmi Muhammad Abdullah Hanif Mohamed Bennai AAML 98 17 0 02 Mar 2023
Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning Rundong Luo Yifei Wang Yisen Wang 76 26 0 02 Mar 2023
Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression Junho Kim Byung-Kwan Lee Yonghyun Ro CML AAML 93 18 0 02 Mar 2023
Defending against Adversarial Audio via Diffusion Model Shutong Wu Jiong Wang Ming-Yu Liu Weili Nie Chaowei Xiao DiffM 86 26 0 02 Mar 2023
Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces Odelia Melamed Gilad Yehudai Gal Vardi GAN 60 2 0 01 Mar 2023
A Practical Upper Bound for the Worst-Case Attribution Deviations Fan Wang A. Kong AAML 101 5 0 01 Mar 2023
Competence-Based Analysis of Language Models Adam Davies Jize Jiang Chengxiang Zhai ELM 58 5 0 01 Mar 2023
To Make Yourself Invisible with Adversarial Semantic Contours Yichi Zhang Zijian Zhu Hang Su Jun Zhu Shibao Zheng Yuan He H. Xue AAML 68 4 0 01 Mar 2023
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning Jianing Zhu Jiangchao Yao Tongliang Liu Quanming Yao Jianliang Xu Bo Han FedML 76 5 0 01 Mar 2023
Frauds Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process Mingze Ni Zhen-Biao Sun Wei Liu AAML SILM 79 7 0 01 Mar 2023
Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks Andong Wang Chong Li Mingyuan Bai Zhong Jin Guoxu Zhou Qianchuan Zhao OOD AAML 49 5 0 01 Mar 2023
Implicit Bilevel Optimization: Differentiating through Bilevel Optimization Programming Francesco Alesiani 46 4 0 28 Feb 2023
Improving Model Generalization by On-manifold Adversarial Augmentation in the Frequency Domain Chang-rui Liu Wenzhao Xiang Yuan He H. Xue Shibao Zheng Hang Su 83 4 0 28 Feb 2023
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking Chang-Shu Liu Yinpeng Dong Wenzhao Xiang Xiaohu Yang Hang Su Junyi Zhu YueFeng Chen Yuan He H. Xue Shibao Zheng OOD VLM AAML 115 85 0 28 Feb 2023
Adversarial Attack with Raindrops Jiyuan Liu Bingyi Lu Mingkang Xiong Tao Zhang Huilin Xiong 65 19 0 28 Feb 2023
GLOW: Global Layout Aware Attacks on Object Detection Buyu Liu BaoJun Jianping Fan Xi Peng Kui Ren Jun Yu AAML 48 0 0 27 Feb 2023
Physical Adversarial Attacks on Deep Neural Networks for Traffic Sign Recognition: A Feasibility Study Fabian Woitschek G. Schneider AAML 75 9 0 27 Feb 2023
Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks Jialai Wang Ziyuan Zhang Meiqi Wang Han Qiu Tianwei Zhang Qi Li Zongpeng Li Tao Wei Chao Zhang AAML 93 22 0 27 Feb 2023
CBA: Contextual Background Attack against Optical Aerial Detection in the Physical World Jiawei Lian Xiaofei Wang Yuru Su Mingyang Ma Shaohui Mei AAML 136 36 0 27 Feb 2023
Randomness in ML Defenses Helps Persistent Attackers and Hinders Evaluators Keane Lucas Matthew Jagielski Florian Tramèr Lujo Bauer Nicholas Carlini AAML 73 10 0 27 Feb 2023
Deep Learning-based Multi-Organ CT Segmentation with Adversarial Data Augmentation Shaoyan Pan Shao-Yuan Lo M. Huang Chaoqiong Ma Jacob F. Wynne Tonghe Wang Tian Liu Xiaofeng Yang OOD MedIm 66 3 0 25 Feb 2023
Scalable Attribution of Adversarial Attacks via Multi-Task Learning Zhongyi Guo Keji Han Yao Ge Wei Ji Yun Li AAML 77 2 0 25 Feb 2023
SATBA: An Invisible Backdoor Attack Based On Spatial Attention Huasong Zhou Xiaowei Xu Zhenyu Wang Leon Bevan Bullock AAML 75 2 0 25 Feb 2023
Denoising diffusion algorithm for inverse design of microstructures with fine-tuned nonlinear material properties Nikolaos N. Vlassis WaiChing Sun AI4CE DiffM 116 51 0 24 Feb 2023
UnbiasedNets: A Dataset Diversification Framework for Robustness Bias Alleviation in Neural Networks Mahum Naseer B. Prabakaran Osman Hasan Mohamed Bennai 88 9 0 24 Feb 2023
Frequency and Scale Perspectives of Feature Extraction Liangqi Zhang Yihao Luo Xiang Cao Haibo Shen Tianjiang Wang 25 0 0 24 Feb 2023
HyperAttack: Multi-Gradient-Guided White-box Adversarial Structure Attack of Hypergraph Neural Networks Chao Hu Ruishi Yu Binqi Zeng Yu Zhan Ying Fu Quan Zhang Rongkai Liu Heyuan Shi AAML 69 7 0 24 Feb 2023
Less is More: Data Pruning for Faster Adversarial Training Yize Li Pu Zhao Xinyu Lin B. Kailkhura Ryan Goldh AAML 117 11 0 23 Feb 2023
Boosting Adversarial Transferability using Dynamic Cues Muzammal Naseer Ahmad A Mahmood Salman Khan Fahad Shahbaz Khan AAML 66 6 0 23 Feb 2023
A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific Plots Boyang Zhang Xinlei He Yun Shen Tianhao Wang Yang Zhang AAML 117 3 0 23 Feb 2023
Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective Zhengbao He Tao Li Sizhe Chen Xiaolin Huang AAML 85 4 0 23 Feb 2023
A framework for benchmarking class-out-of-distribution detection and its application to ImageNet Ido Galil Mohammed Dabbah Ran El-Yaniv UQCV 82 30 0 23 Feb 2023
Mitigating Adversarial Attacks in Deepfake Detection: An Exploration of Perturbation and AI Techniques S. Dhesi Laura Fontes P. Machado I. Ihianle Farhad Fassihi Tash D. Adama AAML 51 5 0 22 Feb 2023
Singular value decomposition based matrix surgery Jehan Ghafuri S. Jassim 23 0 0 22 Feb 2023
PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks Deqiang Li Shicheng Cui Yun Li Jia Xu Fu Xiao Shouhuai Xu AAML 92 19 0 22 Feb 2023