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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

50 / 8,374 papers shown

Title
Variational Positive-incentive Noise: How Noise Benefits Models Hongyuan Zhang Si-Ying Huang Yubin Guo Xuelong Li 88 12 0 13 Jun 2023
On the Robustness of Removal-Based Feature Attributions Christy Lin Ian Covert Su-In Lee 125 13 0 12 Jun 2023
Adversarial Attacks on the Interpretation of Neuron Activation Maximization Géraldin Nanfack A. Fulleringer Jonathan Marty Michael Eickenberg Eugene Belilovsky AAML FAtt 69 11 0 12 Jun 2023
Deep Gaussian Mixture Ensembles Yousef El-Laham Niccolò Dalmasso Elizabeth Fons Svitlana Vyetrenko BDL UQCV 60 2 0 12 Jun 2023
When Vision Fails: Text Attacks Against ViT and OCR Nicholas Boucher Jenny Blessing Ilia Shumailov Ross J. Anderson Nicolas Papernot AAML 70 4 0 12 Jun 2023
How robust accuracy suffers from certified training with convex relaxations Piersilvio De Bartolomeis Jacob Clarysse Amartya Sanyal Fanny Yang AAML 66 2 0 12 Jun 2023
Precise and Generalized Robustness Certification for Neural Networks Yuanyuan Yuan Shuai Wang Z. Su AAML 73 2 0 11 Jun 2023
Neural Architecture Design and Robustness: A Dataset Steffen Jung Jovita Lukasik Margret Keuper OOD AAML 84 20 0 11 Jun 2023
Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework Minglei Yin Bin Liu Neil Zhenqiang Gong Xin Li AAML 55 1 0 11 Jun 2023
Boosting Adversarial Robustness using Feature Level Stochastic Smoothing Sravanti Addepalli Samyak Jain Gaurang Sriramanan R. Venkatesh Babu AAML 52 6 0 10 Jun 2023
NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations Y. Fu Ye Yuan Souvik Kundu Shang Wu Shunyao Zhang Yingyan Lin AAML 130 6 0 10 Jun 2023
Adaptive Contextual Perception: How to Generalize to New Backgrounds and Ambiguous Objects Zhuofan Ying Peter Hase Joey Tianyi Zhou 74 1 0 09 Jun 2023
Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions Ezgi Korkmaz Jonah Brown-Cohen AAML 70 9 0 09 Jun 2023
Spike timing reshapes robustness against attacks in spiking neural networks Jianhao Ding Zhaofei Yu Tiejun Huang Jian K. Liu AAML 86 2 0 09 Jun 2023
Robustness Testing for Multi-Agent Reinforcement Learning: State Perturbations on Critical Agents Ziyuan Zhou Guanjun Liu AAML 84 9 0 09 Jun 2023
Robust Explainer Recommendation for Time Series Classification Thu Trang Nguyen Thach le Nguyen Georgiana Ifrim AI4TS 99 6 0 08 Jun 2023
Adversarial Evasion Attacks Practicality in Networks: Testing the Impact of Dynamic Learning Mohamed el Shehaby Ashraf Matrawy AAML 101 7 0 08 Jun 2023
Background Prompting for Improved Object Depth Manel Baradad Yuanzhen Li Forrester Cole Michael Rubinstein Antonio Torralba William T. Freeman Varun Jampani VLM MDE 64 1 0 08 Jun 2023
PEFT-SER: On the Use of Parameter Efficient Transfer Learning Approaches For Speech Emotion Recognition Using Pre-trained Speech Models Tiantian Feng Shrikanth Narayanan 105 31 0 08 Jun 2023
Boosting Adversarial Transferability by Achieving Flat Local Maxima Zhijin Ge Hongying Liu Xiaosen Wang Fanhua Shang Yuanyuan Liu AAML 94 50 0 08 Jun 2023
Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations Hyeonjeong Ha Minseon Kim Sung Ju Hwang OOD AAML 68 6 0 08 Jun 2023
A Melting Pot of Evolution and Learning Moshe Sipper Achiya Elyasaf Tomer Halperin Zvika Haramaty Raz Lapid Eyal Segal Itai Tzruia Snir Vitrack Tamam BDL 55 0 0 08 Jun 2023
Degraded Polygons Raise Fundamental Questions of Neural Network Perception Leonard Tang Dan Ley AAML 36 0 0 08 Jun 2023
Expanding Scope: Adapting English Adversarial Attacks to Chinese Hanyu Liu Chengyuan Cai Yanjun Qi AAML 63 7 0 08 Jun 2023
Divide and Repair: Using Options to Improve Performance of Imitation Learning Against Adversarial Demonstrations P. Dasgupta AAML 37 0 0 07 Jun 2023
PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts Xiangjue Dong Yun He Ziwei Zhu James Caverlee AAML 64 7 0 07 Jun 2023
PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts Kaijie Zhu Jindong Wang Jiaheng Zhou Zichen Wang Hao Chen ... Linyi Yang Weirong Ye Yue Zhang Neil Zhenqiang Gong Xingxu Xie SILM 138 144 0 07 Jun 2023
Faithful Knowledge Distillation Tom A. Lamb Rudy Bunel Krishnamurthy Dvijotham M. P. Kumar Philip Torr Francisco Eiras AAML 33 0 0 07 Jun 2023
Adversarial Sample Detection Through Neural Network Transport Dynamics Skander Karkar Patrick Gallinari A. Rakotomamonjy AAML 51 1 0 07 Jun 2023
Extracting Cloud-based Model with Prior Knowledge Songtao Zhao Kangjie Chen Meng Hao Jian Zhang Guowen Xu Hongwei Li Tianwei Zhang AAML MIACV SILM MLAU SLR 117 5 0 07 Jun 2023
Optimal Transport Model Distributional Robustness Van-Anh Nguyen Trung Le Anh Tuan Bui Thanh-Toan Do Dinh Q. Phung OOD 77 4 0 07 Jun 2023
CFDP: Common Frequency Domain Pruning Samir Khaki Weihan Luo 3DV 77 5 0 07 Jun 2023
Transferable Adversarial Robustness for Categorical Data via Universal Robust Embeddings Klim Kireev Maksym Andriushchenko Carmela Troncoso Nicolas Flammarion OOD 71 1 0 06 Jun 2023
Value Functions are Control Barrier Functions: Verification of Safe Policies using Control Theory Daniel C.H. Tan Fernando Acero Robert McCarthy Dimitrios Kanoulas Zhibin Li OffRL 73 3 0 06 Jun 2023
Interest-disclosing Mechanisms for Advertising are Privacy-Exposing (not Preserving) Yohan Beugin Patrick McDaniel 138 7 0 06 Jun 2023
Exploring Model Dynamics for Accumulative Poisoning Discovery Jianing Zhu Xiawei Guo Jiangchao Yao Chao Du Li He Shuo Yuan Tongliang Liu Liang Wang Bo Han AAML 60 0 0 06 Jun 2023
Revisiting the Trade-off between Accuracy and Robustness via Weight Distribution of Filters Xingxing Wei Shiji Zhao Bo li AAML 121 7 0 06 Jun 2023
A Robust Likelihood Model for Novelty Detection Ranya Almohsen Shivang Patel Don Adjeroh Gianfranco Doretto AAML OOD 61 0 0 06 Jun 2023
Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception Drew Linsley Pinyuan Feng Thibaut Boissin A. Ashok Thomas Fel Stephanie Olaiya Thomas Serre AAML 78 6 0 05 Jun 2023
Adversarial Ink: Componentwise Backward Error Attacks on Deep Learning Lucas Beerens D. Higham AAML 73 8 0 05 Jun 2023
$The $L^\infty$ Learnability of Reproducing Kernel Hilbert Spaces$ The $L^\infty$ Learnability of Reproducing Kernel Hilbert Spaces Hongrui Chen Jihao Long Lei Wu 70 0 0 05 Jun 2023
Enhance Diffusion to Improve Robust Generalization Jianhui Sun Sanchit Sinha Aidong Zhang 79 4 0 05 Jun 2023
Adversary for Social Good: Leveraging Adversarial Attacks to Protect Personal Attribute Privacy Xiaoting Li Ling-Hao Chen Dinghao Wu AAML SILM 66 6 0 04 Jun 2023
Towards Black-box Adversarial Example Detection: A Data Reconstruction-based Method Yifei Gao Zhi Lin Yunfan Yang Jitao Sang AAML 96 4 0 03 Jun 2023
Invisible Image Watermarks Are Provably Removable Using Generative AI Xuandong Zhao Kexun Zhang Zihao Su Saastha Vasan Ilya Grishchenko Christopher Kruegel Giovanni Vigna Yu Wang Lei Li WIGM 136 63 0 02 Jun 2023
Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation Zhengyue Zhao Jinhao Duan Xingui Hu Kaidi Xu Chenan Wang Rui Zhang Zidong Du Qi Guo Yunji Chen DiffM WIGM 102 28 0 02 Jun 2023
Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations Dou Hu Yinan Bao Lingwei Wei Wei Zhou Song Hu 105 56 0 02 Jun 2023
Robust low-rank training via approximate orthonormal constraints Dayana Savostianova Emanuele Zangrando Gianluca Ceruti Francesco Tudisco 71 10 0 02 Jun 2023
A Closer Look at the Adversarial Robustness of Deep Equilibrium Models Zonghan Yang Tianyu Pang Yang Liu AAML 73 14 0 02 Jun 2023
Adaptive Attractors: A Defense Strategy against ML Adversarial Collusion Attacks Jiyi Zhang Hansheng Fang E. Chang AAML 43 0 0 02 Jun 2023