{"total":17,"rows":[{"id":"2108.00401","title":"Advances in adversarial attacks and defenses in computer vision: A survey","created":"2021-08-01","cited_by_count":127,"area":null},{"id":"2305.12090","title":"UP5: Unbiased Foundation Model for Fairness-aware Recommendation","created":"2023-05-20","cited_by_count":38,"area":null},{"id":"2105.14785","title":"Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart","created":"2021-05-31","cited_by_count":14,"area":null},{"id":"2102.01886","title":"Learning Diverse-Structured Networks for Adversarial Robustness","created":"2021-02-03","cited_by_count":12,"area":null},{"id":"2210.08906","title":"A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities","created":"2022-10-17","cited_by_count":9,"area":null},{"id":"2404.00897","title":"Machine Learning Robustness: A Primer","created":"2024-04-01","cited_by_count":8,"area":null},{"id":"2306.02618","title":"Enhance Diffusion to Improve Robust Generalization","created":"2023-06-05","cited_by_count":3,"area":null},{"id":"2105.14035","title":"DeepMoM: Robust Deep Learning With Median-of-Means","created":"2021-05-28","cited_by_count":2,"area":null},{"id":"2108.09713","title":"Robustness-via-Synthesis: Robust Training with Generative Adversarial Perturbations","created":"2021-08-22","cited_by_count":1,"area":null},{"id":"2406.05006","title":"Clarifying Myths About the Relationship Between Shape Bias, Accuracy, and Robustness","created":"2024-06-07","cited_by_count":1,"area":null},{"id":"2103.02654","title":"A Robust Adversarial Network-Based End-to-End Communications System With Strong Generalization Ability Against Adversarial Attacks","created":"2021-03-03","cited_by_count":0,"area":null},{"id":"2203.09792","title":"AdIoTack: Quantifying and Refining Resilience of Decision Tree Ensemble Inference Models against Adversarial Volumetric Attacks on IoT Networks","created":"2022-03-18","cited_by_count":0,"area":null},{"id":"2212.13741","title":"Distribution Estimation of Contaminated Data via DNN-based MoM-GANs","created":"2022-12-28","cited_by_count":0,"area":null},{"id":"2304.03955","title":"Robust Deep Learning Models Against Semantic-Preserving Adversarial Attack","created":"2023-04-08","cited_by_count":0,"area":null},{"id":"2312.07245","title":"DTA: Distribution Transform-based Attack for Query-Limited Scenario","created":"2023-12-12","cited_by_count":0,"area":null},{"id":"2601.12512","title":"Fine-Tuning Cycle-GAN for Domain Adaptation of MRI Images","created":"2026-01-18","cited_by_count":0,"area":null},{"id":"2607.01305","title":"Generative AI and Federated Learning for Intrusion Detection Systems: A Survey","created":"2026-07-01","cited_by_count":0,"area":null}],"next_cursor":null}