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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Translate your gibberish: black-box adversarial attack on machine translation systems Andrei Chertkov Olga Tsymboi Mikhail Aleksandrovich Pautov Ivan Oseledets AAML 55 3 0 20 Mar 2023
AdaptGuard: Defending Against Universal Attacks for Model Adaptation Lijun Sheng Jian Liang Ran He Zilei Wang Tien-Ping Tan AAML 117 5 0 19 Mar 2023
FedRight: An Effective Model Copyright Protection for Federated Learning Jinyin Chen Mingjun Li Mingjun Li Haibin Zheng FedML 39 15 0 18 Mar 2023
Detection of Uncertainty in Exceedance of Threshold (DUET): An Adversarial Patch Localizer Terence Jie Chua Wen-li Yu Junfeng Zhao AAML UQCV 69 1 0 18 Mar 2023
$Robust Mode Connectivity-Oriented Adversarial Defense: Enhancing Neural Network Robustness Against Diversified $\ell_p$ Attacks$ Robust Mode Connectivity-Oriented Adversarial Defense: Enhancing Neural Network Robustness Against Diversified $\ell_p$ Attacks Ren Wang Yuxuan Li Sijia Liu AAML 75 0 0 17 Mar 2023
Fuzziness-tuned: Improving the Transferability of Adversarial Examples Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML 61 0 0 17 Mar 2023
Iterative Partial Fulfillment of Counterfactual Explanations: Benefits and Risks Yilun Zhou 67 0 0 17 Mar 2023
Finding Competence Regions in Domain Generalization Jens Müller Stefan T. Radev R. Schmier Felix Dräxler Carsten Rother Ullrich Kothe 79 4 0 17 Mar 2023
Adversarial Counterfactual Visual Explanations Guillaume Jeanneret Loïc Simon F. Jurie DiffM 102 29 0 17 Mar 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness Peiyu Xiong Michael W. Tegegn Jaskeerat Singh Sarin Shubhraneel Pal Julia Rubin SILM AAML 102 11 0 17 Mar 2023
Exorcising ''Wraith'': Protecting LiDAR-based Object Detector in Automated Driving System from Appearing Attacks Qifan Xiao Xudong Pan Yifan Lu Mi Zhang Jiarun Dai Min Yang AAML 63 6 0 17 Mar 2023
Diffusion-based Target Sampler for Unsupervised Domain Adaptation Yulong Zhang Shuhao Chen Yu Zhang Jiangang Lu DiffM 85 0 0 17 Mar 2023
Among Us: Adversarially Robust Collaborative Perception by Consensus Yiming Li Qi Fang Jiamu Bai Siheng Chen Felix Juefei Xu Chen Feng AAML 61 28 0 16 Mar 2023
Class Attribute Inference Attacks: Inferring Sensitive Class Information by Diffusion-Based Attribute Manipulations Lukas Struppek Dominik Hintersdorf Felix Friedrich Manuel Brack P. Schramowski Kristian Kersting MIACV 68 2 0 16 Mar 2023
Rethinking Model Ensemble in Transfer-based Adversarial Attacks Huanran Chen Yichi Zhang Yinpeng Dong Xiao Yang Hang Su Junyi Zhu AAML 111 70 0 16 Mar 2023
Agnostic Multi-Robust Learning Using ERM Saba Ahmadi Avrim Blum Omar Montasser Kevin Stangl AAML OOD 53 0 0 15 Mar 2023
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models H. M. Dolatabadi S. Erfani C. Leckie DiffM 119 19 0 15 Mar 2023
Exploring Resiliency to Natural Image Corruptions in Deep Learning using Design Diversity Rafael Rosales Pablo Munoz Michael Paulitsch 73 2 0 15 Mar 2023
Improving Adversarial Robustness with Hypersphere Embedding and Angular-based Regularizations Olukorede Fakorede Ashutosh Nirala Modeste Atsague Jin Tian AAML 38 5 0 15 Mar 2023
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions Rindranirina Ramamonjison Timothy T. Yu Raymond Li Haley Li Giuseppe Carenini ... Shiqi He Mahdi Mostajabdaveh Amin Banitalebi-Dehkordi Zirui Zhou Yong Zhang 89 42 0 14 Mar 2023
Allegro-Legato: Scalable, Fast, and Robust Neural-Network Quantum Molecular Dynamics via Sharpness-Aware Minimization Hikaru Ibayashi Taufeq Mohammed Razakh Liqiu Yang T. Linker M. Olguin ... Ye Luo R. Kalia A. Nakano K. Nomura P. Vashishta 79 9 0 14 Mar 2023
AdPE: Adversarial Positional Embeddings for Pretraining Vision Transformers via MAE+ Tianlin Li Ying Wang Ziwei Xuan Guo-Jun Qi ViT 75 3 0 14 Mar 2023
SMUG: Towards robust MRI reconstruction by smoothed unrolling Hui Li Jinghan Jia Shijun Liang Yuguang Yao S. Ravishankar Sijia Liu 90 4 0 14 Mar 2023
Can Adversarial Examples Be Parsed to Reveal Victim Model Information? Yuguang Yao Jiancheng Liu Yifan Gong Xiaoming Liu Yanzhi Wang Xinyu Lin Sijia Liu AAML MLAU 101 1 0 13 Mar 2023
Model Extraction Attacks on Split Federated Learning Jingtao Li Adnan Siraj Rakin Xing Chen Li Yang Zhezhi He Deliang Fan C. Chakrabarti FedML 129 6 0 13 Mar 2023
PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation Qihao Liu Adam Kortylewski Alan Yuille OODD 100 13 0 13 Mar 2023
Model-tuning Via Prompts Makes NLP Models Adversarially Robust Mrigank Raman Pratyush Maini J. Zico Kolter Zachary Chase Lipton Danish Pruthi AAML 71 17 0 13 Mar 2023
Review on the Feasibility of Adversarial Evasion Attacks and Defenses for Network Intrusion Detection Systems Islam Debicha Benjamin Cochez Tayeb Kenaza Thibault Debatty Jean-Michel Dricot Wim Mees AAML 55 5 0 13 Mar 2023
Adv-Bot: Realistic Adversarial Botnet Attacks against Network Intrusion Detection Systems Islam Debicha Benjamin Cochez Tayeb Kenaza Thibault Debatty Jean-Michel Dricot Wim Mees AAML 64 37 0 12 Mar 2023
Adaptive Local Adversarial Attacks on 3D Point Clouds for Augmented Reality Weiquan Liu Shijun Zheng Cheng-i Wang 3DPC AAML 55 2 0 12 Mar 2023
Making Batch Normalization Great in Federated Deep Learning Shitian Zhao Hong-You Chen Wei-Lun Chao FedML 144 11 0 12 Mar 2023
Improving the Robustness of Deep Convolutional Neural Networks Through Feature Learning Jin Ding Jie-Chao Zhao Yongyang Sun Ping Tan Ji-en Ma You-tong Fang AAML 83 1 0 11 Mar 2023
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey Yulong Wang Tong Sun Shenghong Li Xinnan Yuan W. Ni Ekram Hossain H. Vincent Poor AAML 107 19 0 11 Mar 2023
Stateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box Attacks Ryan Feng Ashish Hooda Neal Mangaokar Kassem Fawaz S. Jha Atul Prakash AAML 122 14 0 11 Mar 2023
Do we need entire training data for adversarial training? Vipul Gupta Apurva Narayan AAML 70 1 0 10 Mar 2023
Estimating friction coefficient using generative modelling Mohammad Otoofi William J. B. Midgley L. Laine Henderson Leon L. Justham James Fleming 36 2 0 10 Mar 2023
Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection Nikolas Adaloglou Félix D. P. Michels Tim Kaiser M. Kollmann VLM 67 0 0 10 Mar 2023
Boosting Adversarial Attacks by Leveraging Decision Boundary Information Boheng Zeng LianLi Gao Qilong Zhang Chaoqun Li JingKuan Song Shuaiqi Jing AAML 112 2 0 10 Mar 2023
NoiseCAM: Explainable AI for the Boundary Between Noise and Adversarial Attacks Wen-Xi Tan Justus Renkhoff Alvaro Velasquez Ziyu Wang Lu Li Jian Wang Shuteng Niu Fan Yang Yongxin Liu Haoze Song AAML 66 6 0 09 Mar 2023
Evaluating the Robustness of Conversational Recommender Systems by Adversarial Examples Ali Montazeralghaem James Allan AAML SILM 86 0 0 09 Mar 2023
Immune Defense: A Novel Adversarial Defense Mechanism for Preventing the Generation of Adversarial Examples Jinwei Wang Hao Wu Haihua Wang Jiawei Zhang X. Luo Bin Ma AAML 59 0 0 08 Mar 2023
Exploring Adversarial Attacks on Neural Networks: An Explainable Approach Justus Renkhoff Wenkai Tan Alvaro Velasquez William Yichen Wang Yongxin Liu Jian Wang Shuteng Niu Lejla Begic Fazlic Guido Dartmann Haoze Song AAML 85 7 0 08 Mar 2023
Automatically Auditing Large Language Models via Discrete Optimization Erik Jones Anca Dragan Aditi Raghunathan Jacob Steinhardt 119 172 0 08 Mar 2023
CUDA: Convolution-based Unlearnable Datasets Vinu Sankar Sadasivan Mahdi Soltanolkotabi Soheil Feizi MU 67 25 0 07 Mar 2023
Patch of Invisibility: Naturalistic Physical Black-Box Adversarial Attacks on Object Detectors Raz Lapid Eylon Mizrahi Moshe Sipper AAML 64 1 0 07 Mar 2023
Robustness-preserving Lifelong Learning via Dataset Condensation Jinghan Jia Yihua Zhang Dogyoon Song Sijia Liu Alfred Hero DD 67 5 0 07 Mar 2023
Logit Margin Matters: Improving Transferable Targeted Adversarial Attack by Logit Calibration Juanjuan Weng Zhiming Luo Zhun Zhong Shaozi Li N. Sebe AAML 81 19 0 07 Mar 2023
Nash Equilibria, Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization Soroosh Shafieezadeh-Abadeh Liviu Aolaritei Florian Dorfler Daniel Kuhn 152 20 0 07 Mar 2023
A Comparison of Methods for Neural Network Aggregation John Pomerat Aviv Segev OOD FedML 41 0 0 06 Mar 2023
Convolutional Neural Networks as 2-D systems Dennis Gramlich Patricia Pauli C. Scherer Frank Allgöwer C. Ebenbauer 3DV 56 8 0 06 Mar 2023