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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 Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization Shiji Xin Yifei Wang Jingtong Su Yisen Wang OOD 92 7 0 18 Dec 2022
Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks Anqi Zhao Tong Chu Yahao Liu Wen Li Jingjing Li Lixin Duan AAML 74 18 0 18 Dec 2022
A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness Tiantian Feng Rajat Hebbar Nicholas Mehlman Xuan Shi Aditya Kommineni and Shrikanth Narayanan 108 34 0 18 Dec 2022
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ Eoin Delaney A. Pakrashi Derek Greene Markt. Keane 79 17 0 16 Dec 2022
Better May Not Be Fairer: A Study on Subgroup Discrepancy in Image Classification Ming-Chang Chiu Pin-Yu Chen Xuezhe Ma 92 6 0 16 Dec 2022
Robust Explanation Constraints for Neural Networks Matthew Wicker Juyeon Heo Luca Costabello Adrian Weller FAtt 63 18 0 16 Dec 2022
Semantics-Empowered Communication: A Tutorial-cum-Survey Zhilin Lu Rongpeng Li Kun Lu Xianfu Chen Ekram Hossain Zhifeng Zhao Honggang Zhang 121 19 0 16 Dec 2022
Adversarial Example Defense via Perturbation Grading Strategy Shaowei Zhu Wanli Lyu Bin Li Z. Yin Bin Luo AAML 71 1 0 16 Dec 2022
On Evaluating Adversarial Robustness of Chest X-ray Classification: Pitfalls and Best Practices Salah Ghamizi Maxime Cordy Michail Papadakis Yves Le Traon OOD 47 3 0 15 Dec 2022
Alternating Objectives Generates Stronger PGD-Based Adversarial Attacks Nikolaos Antoniou Efthymios Georgiou Alexandros Potamianos AAML 71 5 0 15 Dec 2022
Runtime Monitoring for Out-of-Distribution Detection in Object Detection Neural Networks V. Hashemi Jan Křetínský Sabine Rieder J. Schmidt OODD 62 7 0 15 Dec 2022
Generative Robust Classification Xuwang Yin TPM 53 0 0 14 Dec 2022
SAIF: Sparse Adversarial and Imperceptible Attack Framework Tooba Imtiaz Morgan Kohler Jared Miller Zifeng Wang Octavia Camps Mario Sznaier Octavia Camps Jennifer Dy AAML 100 0 0 14 Dec 2022
Adversarial Attacks and Defences for Skin Cancer Classification Vinay Jogani J. Purohit Ishaan Shivhare Samina Attari S. Shrawne AAML MedIm 57 2 0 13 Dec 2022
Towards Efficient and Domain-Agnostic Evasion Attack with High-dimensional Categorical Inputs Hongyan Bao Yufei Han Yujun Zhou Xin Gao Xiangliang Zhang AAML 77 5 0 13 Dec 2022
AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs Helene Orsini Hongyan Bao Yujun Zhou Xiangrui Xu Yufei Han Longyang Yi Wei Wang Xin Gao Xiangliang Zhang AAML 97 1 0 13 Dec 2022
Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection P. Lorenz Margret Keuper J. Keuper AAML 95 7 0 13 Dec 2022
AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images Pei Liu Luping Ji Feng Ye Bo Fu 76 29 0 13 Dec 2022
Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining Florian Tramèr Gautam Kamath Nicholas Carlini SILM 129 72 0 13 Dec 2022
Object-fabrication Targeted Attack for Object Detection Xuchong Zhang Changfeng Sun Haoliang Han Hang Wang Hongbin Sun Nanning Zheng AAML 52 0 0 13 Dec 2022
An Exploratory Study of AI System Risk Assessment from the Lens of Data Distribution and Uncertainty Zhijie Wang Yuheng Huang Lei Ma Haruki Yokoyama Susumu Tokumoto Kazuki Munakata 64 4 0 13 Dec 2022
Adversarially Robust Video Perception by Seeing Motion Lingyu Zhang Chengzhi Mao Junfeng Yang Carl Vondrick VGen AAML 87 2 0 13 Dec 2022
RPN: A Word Vector Level Data Augmentation Algorithm in Deep Learning for Language Understanding Zheng Yuan Xiaolong Zhang Yue Wang Xuecong Hou Huiwen Xue Zhuanzhe Zhao Yongming Liu 111 1 0 12 Dec 2022
SRoUDA: Meta Self-training for Robust Unsupervised Domain Adaptation Wan-Xuan Zhu Jia-Li Yin Bo-Hao Chen Ximeng Liu 89 6 0 12 Dec 2022
Carpet-bombing patch: attacking a deep network without usual requirements Pol Labarbarie Adrien Chan-Hon-Tong Stéphane Herbin Milad Leyli-Abadi AAML 61 1 0 12 Dec 2022
REAP: A Large-Scale Realistic Adversarial Patch Benchmark Nabeel Hingun Chawin Sitawarin Jerry Li David Wagner AAML 97 15 0 12 Dec 2022
DISCO: Adversarial Defense with Local Implicit Functions Chih-Hui Ho Nuno Vasconcelos AAML 130 39 0 11 Dec 2022
General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments Xiaogang Xu Hengshuang Zhao Philip Torr Jiaya Jia AAML 61 2 0 11 Dec 2022
Mitigating Adversarial Gray-Box Attacks Against Phishing Detectors Giovanni Apruzzese V. S. Subrahmanian AAML 79 21 0 11 Dec 2022
Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model Checking Dennis Gross T. D. Simão N. Jansen G. Pérez AAML 90 2 0 10 Dec 2022
Identifying the Source of Vulnerability in Explanation Discrepancy: A Case Study in Neural Text Classification Ruixuan Tang Hanjie Chen Yangfeng Ji AAML FAtt 73 3 0 10 Dec 2022
QVIP: An ILP-based Formal Verification Approach for Quantized Neural Networks Yedi Zhang Zhe Zhao Fu Song Hao Fei Tao Chen Jun Sun 69 18 0 10 Dec 2022
Understanding and Combating Robust Overfitting via Input Loss Landscape Analysis and Regularization Lin Li Michael W. Spratling AAML 92 35 0 09 Dec 2022
Fairify: Fairness Verification of Neural Networks Sumon Biswas Hridesh Rajan 81 26 0 08 Dec 2022
Leveraging Unlabeled Data to Track Memorization Mahsa Forouzesh Hanie Sedghi Patrick Thiran NoLa TDI 87 4 0 08 Dec 2022
A Rubric for Human-like Agents and NeuroAI Ida Momennejad 128 14 0 08 Dec 2022
Targeted Adversarial Attacks against Neural Network Trajectory Predictors Kai Liang Tan Jun Wang Y. Kantaros AAML 82 16 0 08 Dec 2022
A Systematic Literature Review On Privacy Of Deep Learning Systems Vishal Jignesh Gandhi Sanchit Shokeen Saloni Koshti PILM 62 1 0 07 Dec 2022
DDoD: Dual Denial of Decision Attacks on Human-AI Teams Benjamin Tag N. V. Berkel Sunny Verma Benjamin Zi Hao Zhao S. Berkovsky Dali Kaafar V. Kostakos O. Ohrimenko AAML 55 5 0 07 Dec 2022
Artificial Intelligence Security Competition (AISC) Yinpeng Dong Peng Chen Senyou Deng L. Lianji Yi Sun ... Zhichao Cui G. Liu Huafeng Shi K. Hu Meng Zhang 79 0 0 07 Dec 2022
Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning Hongbin Liu Wenjie Qu Jinyuan Jia Neil Zhenqiang Gong SSL 66 6 0 06 Dec 2022
veriFIRE: Verifying an Industrial, Learning-Based Wildfire Detection System Guy Amir Ziv Freund Guy Katz Elad Mandelbaum Idan Refaeli 104 13 0 06 Dec 2022
Decentralized Stochastic Gradient Descent Ascent for Finite-Sum Minimax Problems Hongchang Gao 103 16 0 06 Dec 2022
Enhancing Quantum Adversarial Robustness by Randomized Encodings Weiyuan Gong D. Yuan Weikang Li D. Deng AAML 105 19 0 05 Dec 2022
Blessings and Curses of Covariate Shifts: Adversarial Learning Dynamics, Directional Convergence, and Equilibria Tengyuan Liang 89 1 0 05 Dec 2022
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization Le‐Yu Chen Haishan Ye Luo Luo 149 5 0 05 Dec 2022
$Multiple Perturbation Attack: Attack Pixelwise Under Different $\ell_p$-norms For Better Adversarial Performance$ Multiple Perturbation Attack: Attack Pixelwise Under Different $\ell_p$ -norms For Better Adversarial Performance Ngoc N. Tran Anh Tuan Bui Dinh Q. Phung Trung Le AAML 53 1 0 05 Dec 2022
FaceQAN: Face Image Quality Assessment Through Adversarial Noise Exploration Žiga Babnik Peter Peer Vitomir Štruc CVBM AAML 71 19 0 05 Dec 2022
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense Bao Gia Doan Ehsan Abbasnejad Javen Qinfeng Shi Damith Ranashinghe AAML OOD 87 8 0 05 Dec 2022
Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning Mingyuan Fan Cen Chen Chengyu Wang Ximeng Liu Wenmeng Zhou AAML FedML 116 0 0 05 Dec 2022