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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
Lowering PyTorch's Memory Consumption for Selective Differentiation Samarth Bhatia Felix Dangel 54 1 0 15 Apr 2024
Ti-Patch: Tiled Physical Adversarial Patch for no-reference video quality metrics Victoria Leonenkova E. Shumitskaya Anastasia Antsiferova D. Vatolin 116 3 0 15 Apr 2024
Explainable Generative AI (GenXAI): A Survey, Conceptualization, and Research Agenda Johannes Schneider 142 35 0 15 Apr 2024
Black-box Adversarial Transferability: An Empirical Study in Cybersecurity Perspective Khushnaseeb Roshan Aasim Zafar AAML 66 7 0 15 Apr 2024
SpamDam: Towards Privacy-Preserving and Adversary-Resistant SMS Spam Detection Yekai Li Rufan Zhang Wenxin Rong Xianghang Mi 96 3 0 15 Apr 2024
Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models Peifei Zhu Tsubasa Takahashi Hirokatsu Kataoka WIGM 92 16 0 15 Apr 2024
Counteracting Concept Drift by Learning with Future Malware Predictions B. Bosanský Lada Hospodkova Michal Najman M. Rigaki E. Babayeva Viliam Lisý AAML 41 1 0 14 Apr 2024
Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies Brian Bartoldson James Diffenderfer Konstantinos Parasyris B. Kailkhura AAML 134 19 0 14 Apr 2024
FedCCL: Federated Dual-Clustered Feature Contrast Under Domain Heterogeneity Yu Qiao Huy Q. Le Mengchun Zhang Apurba Adhikary Chaoning Zhang Choong Seon Hong FedML 83 10 0 14 Apr 2024
Multimodal Attack Detection for Action Recognition Models Furkan Mumcu Yasin Yılmaz AAML 72 1 0 13 Apr 2024
PASA: Attack Agnostic Unsupervised Adversarial Detection using Prediction & Attribution Sensitivity Analysis Dipkamal Bhusal Md Tanvirul Alam M. K. Veerabhadran Michael Clifford Sara Rampazzi Nidhi Rastogi AAML 101 1 0 12 Apr 2024
FCert: Certifiably Robust Few-Shot Classification in the Era of Foundation Models Yanting Wang Wei Zou Jinyuan Jia 95 1 0 12 Apr 2024
Beyond One-Size-Fits-All: Adapting Counterfactual Explanations to User Objectives Orfeas Menis Mastromichalakis Jason Liartis Giorgos Stamou 48 1 0 12 Apr 2024
A Survey of Neural Network Robustness Assessment in Image Recognition Jie Wang Jun Ai Minyan Lu Haoran Su Dan Yu Yutao Zhang Junda Zhu Jingyu Liu AAML 120 3 0 12 Apr 2024
Struggle with Adversarial Defense? Try Diffusion Yujie Li Yanbin Wang Peiyue Li Bin Liu Jianguo Sun Yifan Jia Wenrui Ma DiffM 73 1 0 12 Apr 2024
Practical Region-level Attack against Segment Anything Models Yifan Shen Zhengyuan Li Gang Wang VLM 78 10 0 12 Apr 2024
Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization Runqi Lin Chaojian Yu Tongliang Liu AAML 113 12 0 11 Apr 2024
Persistent Classification: A New Approach to Stability of Data and Adversarial Examples Brian Bell Michael Geyer David Glickenstein Keaton Hamm C. Scheidegger Amanda S. Fernandez Juston Moore AAML 89 1 0 11 Apr 2024
Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase Sampling Sourajit Saha Tejas Gokhale 78 2 0 11 Apr 2024
Adversarial purification for no-reference image-quality metrics: applicability study and new methods Aleksandr Gushchin Anna Chistyakova Vladislav Minashkin Anastasia Antsiferova D. Vatolin 84 3 0 10 Apr 2024
Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data Yu Qiao Chaoning Zhang Apurba Adhikary Choong Seon Hong FedML 77 7 0 10 Apr 2024
An inclusive review on deep learning techniques and their scope in handwriting recognition Sukhdeep Singh Sudhir Rohilla Anuj Sharma 62 0 0 10 Apr 2024
Towards Building a Robust Toxicity Predictor Dmitriy Bespalov Sourav S. Bhabesh Yi Xiang Liutong Zhou Yanjun Qi AAML 161 16 0 09 Apr 2024
On adversarial training and the 1 Nearest Neighbor classifier Amir Hagai Yair Weiss AAML 102 0 0 09 Apr 2024
LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks Jianlang Chen Xuhong Ren Qing Guo Felix Juefei Xu Di Lin Wei Feng Lei Ma Jianjun Zhao 91 1 0 09 Apr 2024
Towards Robust Domain Generation Algorithm Classification Arthur Drichel Marc Meyer Ulrike Meyer AAML 76 3 0 09 Apr 2024
Deep Learning-Based Out-of-distribution Source Code Data Identification: How Far Have We Gone? Van Nguyen Xingliang Yuan Tingmin Wu Surya Nepal M. Grobler Carsten Rudolph 91 1 0 09 Apr 2024
David and Goliath: An Empirical Evaluation of Attacks and Defenses for QNNs at the Deep Edge Miguel Costa Sandro Pinto AAML 85 0 0 08 Apr 2024
Certified PEFTSmoothing: Parameter-Efficient Fine-Tuning with Randomized Smoothing Chengyan Fu Wenjie Wang AAML 96 0 0 08 Apr 2024
BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial Attack Viet Vo Ehsan Abbasnejad Damith C. Ranasinghe AAML 109 5 0 08 Apr 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey Naveen Karunanayake Ravin Gunawardena Suranga Seneviratne Sanjay Chawla OOD 95 7 0 08 Apr 2024
Data Poisoning Attacks on Off-Policy Policy Evaluation Methods Elita Lobo Harvineet Singh Marek Petrik Cynthia Rudin Himabindu Lakkaraju 78 3 0 06 Apr 2024
Domain Generalisation via Imprecise Learning Anurag Singh Siu Lun Chau S. Bouabid Krikamol Muandet AI4CE OOD 100 10 0 06 Apr 2024
CANEDERLI: On The Impact of Adversarial Training and Transferability on CAN Intrusion Detection Systems Francesco Marchiori Mauro Conti AAML 75 1 0 06 Apr 2024
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training Shizhan Gong Qi Dou Farzan Farnia FAtt 98 3 0 06 Apr 2024
Goal-guided Generative Prompt Injection Attack on Large Language Models Chong Zhang Mingyu Jin Qinkai Yu Chengzhi Liu Haochen Xue Xiaobo Jin AAML SILM 100 16 0 06 Apr 2024
Evaluating Adversarial Robustness: A Comparison Of FGSM, Carlini-Wagner Attacks, And The Role of Distillation as Defense Mechanism Trilokesh Ranjan Sarkar Nilanjan Das Pralay Sankar Maitra Bijoy Some Ritwik Saha Orijita Adhikary Bishal Bose Jaydip Sen AAML 44 0 0 05 Apr 2024
Noisy Label Processing for Classification: A Survey Mengting Li Chuang Zhu NoLa 105 1 0 05 Apr 2024
Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks Lei Zhang Yuhang Zhou Yi Yang Xinbo Gao AAML OOD 85 7 0 04 Apr 2024
FACTUAL: A Novel Framework for Contrastive Learning Based Robust SAR Image Classification Xu Wang Tian Ye Rajgopal Kannan Viktor Prasanna AAML 74 2 0 04 Apr 2024
Adversarial Attacks and Dimensionality in Text Classifiers Nandish Chattopadhyay Atreya Goswami Anupam Chattopadhyay SILM AAML 57 1 0 03 Apr 2024
One Noise to Rule Them All: Multi-View Adversarial Attacks with Universal Perturbation Mehmet Ergezer Phat Duong Christian Green Tommy Nguyen Abdurrahman Zeybey AAML 75 3 0 02 Apr 2024
Towards Robust 3D Pose Transfer with Adversarial Learning Haoyu Chen Hao Tang Ehsan Adeli Guoying Zhao 3DH AAML 83 3 0 02 Apr 2024
READ: Improving Relation Extraction from an ADversarial Perspective Dawei Li William Hogan Jingbo Shang AAML 99 0 0 02 Apr 2024
Red-Teaming Segment Anything Model K. Jankowski Bartlomiej Sobieski Mateusz Kwiatkowski J. Szulc Michael F. Janik Hubert Baniecki P. Biecek VLM AAML 75 3 0 02 Apr 2024
Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay Yuhang Zhou Zhongyun Hua AAML CLL 96 4 0 02 Apr 2024
Evaluating Large Language Models Using Contrast Sets: An Experimental Approach Manish Sanwal 32 5 0 02 Apr 2024
Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization Qi Zhang Yi Zhou Ashley Prater-Bennette Lixin Shen Shaofeng Zou 115 4 0 01 Apr 2024
AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation Taeckyung Lee Sorn Chottananurak Taesik Gong Sung-Ju Lee 85 3 0 01 Apr 2024
Machine Learning Robustness: A Primer Houssem Ben Braiek Foutse Khomh AAML OOD 106 8 0 01 Apr 2024