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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
Multi-Attribute Vision Transformers are Efficient and Robust Learners Hanan Gani Nada Saadi Noor Hussein Karthik Nandakumar ViT 68 0 0 12 Feb 2024
Tighter Bounds on the Information Bottleneck with Application to Deep Learning Nir Weingarten Z. Yakhini Moshe Butman Ran Gilad-Bachrach AAML 54 1 0 12 Feb 2024
Correctness Verification of Neural Networks Approximating Differential Equations Petros Ellinas Rahul Nellikkath Ignasi Ventura Jochen Stiasny Spyros Chatzivasileiadis 73 1 0 12 Feb 2024
NeuralSentinel: Safeguarding Neural Network Reliability and Trustworthiness Xabier Echeberria-Barrio Mikel Gorricho Selene Valencia Francesco Zola AAML 63 1 0 12 Feb 2024
Accelerated Smoothing: A Scalable Approach to Randomized Smoothing Devansh Bhardwaj Kshitiz Kaushik Sarthak Gupta AAML 125 0 0 12 Feb 2024
A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense Ryota Iijima Sayaka Shiota Hitoshi Kiya 96 6 0 11 Feb 2024
Instance-Level Safety-Aware Fidelity of Synthetic Data and Its Calibration Chih-Hong Cheng Paul Stöckel Xingyu Zhao 89 2 0 10 Feb 2024
Whispers in the Machine: Confidentiality in LLM-integrated Systems Jonathan Evertz Merlin Chlosta Lea Schonherr Thorsten Eisenhofer 119 21 0 10 Feb 2024
System-level Analysis of Adversarial Attacks and Defenses on Intelligence in O-RAN based Cellular Networks Azuka J. Chiejina Brian Kim Kaushik Chowhdury Vijay K. Shah AAML 88 14 0 10 Feb 2024
RAMP: Boosting Adversarial Robustness Against Multiple $l_p$ Perturbations Enyi Jiang Gagandeep Singh AAML 95 1 0 09 Feb 2024
Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks Nandish Chattopadhyay Amira Guesmi Mohamed Bennai AAML 69 2 0 09 Feb 2024
Quantifying and Enhancing Multi-modal Robustness with Modality Preference Zequn Yang Yake Wei Ce Liang Di Hu AAML 87 10 0 09 Feb 2024
Flashback: Understanding and Mitigating Forgetting in Federated Learning Mohammed Aljahdali A. Abdelmoniem Marco Canini Samuel Horváth 105 3 0 08 Feb 2024
Linearizing Models for Efficient yet Robust Private Inference Sreetama Sarkar Souvik Kundu Peter A. Beerel AAML 65 0 0 08 Feb 2024
Investigating White-Box Attacks for On-Device Models M. Zhou Xiang Gao Jing Wu Kui Liu Hailong Sun Li Li AAML 110 9 0 08 Feb 2024
Is Adversarial Training with Compressed Datasets Effective? Tong Chen Raghavendra Selvan AAML 166 0 0 08 Feb 2024
Adversarial Robustness Through Artifact Design Tsufit Shua Mahmood Sharif AAML 72 0 0 07 Feb 2024
Studying Vulnerable Code Entities in R ZiXiao Zhao Millon Madhur Das Fatemeh H. Fard AAML 99 0 0 06 Feb 2024
Enhance DNN Adversarial Robustness and Efficiency via Injecting Noise to Non-Essential Neurons Zhenyu Liu Garrett Gagnon Swagath Venkataramani Liu Liu AAML 72 0 0 06 Feb 2024
PAC-Bayesian Adversarially Robust Generalization Bounds for Graph Neural Network Tan Sun Junhong Lin AAML 108 3 0 06 Feb 2024
Adversarially Robust Deepfake Detection via Adversarial Feature Similarity Learning Sarwar Khan AAML 107 5 0 06 Feb 2024
SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems Oubo Ma Yuwen Pu L. Du Yang Dai Ruo Wang Xiaolei Liu Yingcai Wu Shouling Ji AAML 75 4 0 06 Feb 2024
FoolSDEdit: Deceptively Steering Your Edits Towards Targeted Attribute-aware Distribution Qi Zhou Donghai Hong Tianlin Li Zhihong Xu Yang Liu Kui Ren Wenhai Wang Qing Guo AAML DiffM 67 2 0 06 Feb 2024
Partially Recentralization Softmax Loss for Vision-Language Models Robustness Hao Wang Xin Zhang Jinzhe Jiang Yaqian Zhao Chen Li AAML 67 0 0 06 Feb 2024
Assessing the Impact of Distribution Shift on Reinforcement Learning Performance Ted Fujimoto Joshua Suetterlein Samrat Chatterjee A. Ganguly OffRL 86 4 0 05 Feb 2024
FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning Sejoon Oh Berk Ustun Julian McAuley Srijan Kumar 55 2 0 05 Feb 2024
Arabic Synonym BERT-based Adversarial Examples for Text Classification Norah M. Alshahrani Saied Alshahrani Esma Wali Jeanna Neefe Matthews AAML 67 6 0 05 Feb 2024
Organic or Diffused: Can We Distinguish Human Art from AI-generated Images? Anna Yoo Jeong Ha Josephine Passananti Ronik Bhaskar Shawn Shan Reid Southen Haitao Zheng Ben Y. Zhao AAML 151 24 0 05 Feb 2024
Discovering interpretable models of scientific image data with deep learning Christopher J. Soelistyo Alan R. Lowe 63 7 0 05 Feb 2024
Transcending Adversarial Perturbations: Manifold-Aided Adversarial Examples with Legitimate Semantics Shuai Li Xiaoyu Jiang Xiaoguang Ma AAML 81 0 0 05 Feb 2024
Unraveling the Key of Machine Learning Solutions for Android Malware Detection Jiahao Liu Jun Zeng Fabio Pierazzi Lorenzo Cavallaro Zhenkai Liang AAML 83 8 0 05 Feb 2024
Leveraging Noisy Observations in Zero-Sum Games Emmanouil M. Athanasakos S. Perlaza 90 0 0 05 Feb 2024
PowerGraph: A power grid benchmark dataset for graph neural networks Anna Varbella Kenza Amara B. Gjorgiev Mennatallah El-Assady G. Sansavini 52 9 0 05 Feb 2024
A Generative Approach to Surrogate-based Black-box Attacks Raha Moraffah Huan Liu AAML 112 0 0 05 Feb 2024
Causal Feature Selection for Responsible Machine Learning Raha Moraffah Paras Sheth Saketh Vishnubhatla Huan Liu CML 62 2 0 05 Feb 2024
DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms in Vision Transformers Oryan Yehezkel Alon Zolfi Amit Baras Yuval Elovici A. Shabtai AAML 77 2 0 04 Feb 2024
Copyright Protection in Generative AI: A Technical Perspective Jie Ren Han Xu Pengfei He Yingqian Cui Shenglai Zeng ... Hongzhi Wen Jiayuan Ding Hui Liu Yi Chang Jiliang Tang DeLMO 106 43 0 04 Feb 2024
Jailbreaking Attack against Multimodal Large Language Model Zhenxing Niu Haoxuan Ji Xinbo Gao Gang Hua Rong Jin 97 76 0 04 Feb 2024
MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers Yatong Bai Mo Zhou Vishal M. Patel Somayeh Sojoudi AAML 96 8 0 03 Feb 2024
Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error Haoran Li Zicheng Zhang Wang Luo Congying Han Yudong Hu Tiande Guo Shichen Liao AAML 135 2 0 03 Feb 2024
Evaluating the Robustness of Off-Road Autonomous Driving Segmentation against Adversarial Attacks: A Dataset-Centric analysis Pankaj Deoli Rohit Kumar A. Vierling Karsten Berns 129 3 0 03 Feb 2024
RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies Hao Cheng Qingsong Wen Yang Liu Liang Sun OOD AI4TS 70 7 0 03 Feb 2024
Unlearnable Examples For Time Series Yujing Jiang Xingjun Ma S. Erfani James Bailey AI4TS 95 1 0 03 Feb 2024
An Information Theoretic Approach to Machine Unlearning Jack Foster Kyle Fogarty Stefan Schoepf Cengiz Öztireli Alexandra Brintrup MU 103 6 0 02 Feb 2024
A survey on robustness in trajectory prediction for autonomous vehicles Jeroen Hagenus Frederik Baymler Mathiesen J. Schumann Arkady Zgonnikov 104 5 0 02 Feb 2024
HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text Han Liu Zhi Xu Xiaotong Zhang Feng Zhang Fenglong Ma Hongyang Chen Hong Yu Xianchao Zhang AAML 91 8 0 02 Feb 2024
STAA-Net: A Sparse and Transferable Adversarial Attack for Speech Emotion Recognition Yi Chang Zhao Ren Zixing Zhang Xin Jing Kun Qian Xi Shao Bin Hu Tanja Schultz Björn W. Schuller AAML 77 4 0 02 Feb 2024
Double-Dip: Thwarting Label-Only Membership Inference Attacks with Transfer Learning and Randomization Arezoo Rajabi Reeya Pimple Aiswarya Janardhanan Surudhi Asokraj Bhaskar Ramasubramanian Radha Poovendran 83 0 0 02 Feb 2024
Vaccine: Perturbation-aware Alignment for Large Language Model Tiansheng Huang Sihao Hu Ling Liu 125 49 0 02 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 128 20 0 02 Feb 2024