{"total":42,"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":"2210.14707","title":"Is Out-of-Distribution Detection Learnable?","created":"2022-10-26","cited_by_count":109,"area":null},{"id":"2204.06974","title":"Planting Undetectable Backdoors in Machine Learning Models","created":"2022-04-14","cited_by_count":59,"area":null},{"id":"2102.02145","title":"Adversarially Robust Learning with Unknown Perturbation Sets","created":"2021-02-03","cited_by_count":24,"area":null},{"id":"2212.02742","title":"A Learning Based Hypothesis Test for Harmful Covariate Shift","created":"2022-12-06","cited_by_count":19,"area":null},{"id":"2102.07802","title":"Efficient Learning with Arbitrary Covariate Shift","created":"2021-02-15","cited_by_count":15,"area":null},{"id":"2406.02742","title":"Tolerant Algorithms for Learning with Arbitrary Covariate Shift","created":"2024-06-04","cited_by_count":15,"area":null},{"id":"2404.02364","title":"Learning Intersections of Halfspaces with Distribution Shift: Improved Algorithms and SQ Lower Bounds","created":"2024-04-02","cited_by_count":13,"area":null},{"id":"2301.12576","title":"Uncovering Adversarial Risks of Test-Time Adaptation","created":"2023-01-29","cited_by_count":12,"area":null},{"id":"2110.10602","title":"Transductive Robust Learning Guarantees","created":"2021-10-20","cited_by_count":10,"area":null},{"id":"2304.03370","title":"Reliable learning in challenging environments","created":"2023-04-06","cited_by_count":10,"area":null},{"id":"2203.00849","title":"Adversarially Robust Learning with Tolerance","created":"2022-03-02","cited_by_count":9,"area":null},{"id":"2305.14690","title":"Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems","created":"2023-05-24","cited_by_count":9,"area":null},{"id":"2406.09373","title":"Efficient Discrepancy Testing for Learning with Distribution Shift","created":"2024-06-13","cited_by_count":9,"area":null},{"id":"2110.14735","title":"Towards Evaluating the Robustness of Neural Networks Learned by Transduction","created":"2021-10-27","cited_by_count":8,"area":null},{"id":"2505.20177","title":"The Power of Iterative Filtering for Supervised Learning with (Heavy) Contamination","created":"2025-05-26","cited_by_count":7,"area":null},{"id":"2403.11963","title":"Transfer Learning Beyond Bounded Density Ratios","created":"2024-03-18","cited_by_count":6,"area":null},{"id":"2211.02578","title":"Data Models for Dataset Drift Controls in Machine Learning With Optical Images","created":"2022-11-04","cited_by_count":5,"area":null},{"id":"2305.01139","title":"Stratified Adversarial Robustness with Rejection","created":"2023-05-02","cited_by_count":4,"area":null},{"id":"2502.16021","title":"Learning Neural Networks with Distribution Shift: Efficiently Certifiable Guarantees","created":"2025-02-22","cited_by_count":4,"area":null},{"id":"2605.02072","title":"Weight Clipping for Robust Conformal Inference under Unbounded Covariate Shifts","created":"2026-05-03","cited_by_count":4,"area":null},{"id":"2504.10428","title":"Smoothed Analysis of Learning from Positive Samples","created":"2025-04-14","cited_by_count":3,"area":null},{"id":"2602.20111","title":"Reliable Abstention under Adversarial Injections: Tight Lower Bounds and New Upper Bounds","created":"2026-02-23","cited_by_count":3,"area":null},{"id":"2602.24178","title":"Sandwiching Polynomials for Geometric Concepts with Low Intrinsic Dimension","created":"2026-02-27","cited_by_count":3,"area":null},{"id":"2106.08387","title":"Towards Adversarial Robustness via Transductive Learning","created":"2021-06-15","cited_by_count":2,"area":null},{"id":"2207.12545","title":"$p$-DkNN: Out-of-Distribution Detection Through Statistical Testing of Deep Representations","created":"2022-07-25","cited_by_count":2,"area":null},{"id":"2102.05475","title":"Adversarial Robustness: What fools you makes you stronger","created":"2021-02-10","cited_by_count":1,"area":null},{"id":"2112.09625","title":"Provable Adversarial Robustness in the Quantum Model","created":"2021-12-17","cited_by_count":1,"area":null},{"id":"2411.11238","title":"Reliable Learning of Halfspaces under Gaussian Marginals","created":"2024-11-18","cited_by_count":1,"area":null},{"id":"2504.20310","title":"A Cryptographic Perspective on Mitigation vs. Detection in Machine Learning","created":"2025-04-28","cited_by_count":1,"area":null},{"id":"2507.10623","title":"Flows and Diffusions on the Neural Manifold","created":"2025-07-14","cited_by_count":1,"area":null},{"id":"2602.17918","title":"Distribution-Free Sequential Prediction with Abstentions","created":"2026-02-20","cited_by_count":1,"area":null},{"id":"2605.07005","title":"Equivalence of Coarse and Fine-Grained Models for Learning with Distribution Shift","created":"2026-05-07","cited_by_count":1,"area":null},{"id":"2605.17251","title":"Iterative Chow Filtering for Learning with Distribution Shift","created":"2026-05-17","cited_by_count":1,"area":null},{"id":"2608.13514","title":"Bagging Robustly Learns VC Classes with Linear Sample Complexity","created":"2026-08-13","cited_by_count":1,"area":null},{"id":"2110.15829","title":"Holistic Deep Learning","created":"2021-10-29","cited_by_count":0,"area":null},{"id":"2211.01915","title":"Uncertainty Quantification for Rule-Based Models","created":"2022-11-03","cited_by_count":0,"area":null},{"id":"2305.17528","title":"Two Heads are Actually Better than One: Towards Better Adversarial Robustness via Transduction and Rejection","created":"2023-05-27","cited_by_count":0,"area":null},{"id":"2506.05047","title":"Reliably Detecting Model Failures in Deployment Without Labels","created":"2025-06-05","cited_by_count":0,"area":null},{"id":"2511.11834","title":"Volatility in Certainty (VC): A Metric for Detecting Adversarial Perturbations During Inference in Neural Network Classifiers","created":"2025-11-14","cited_by_count":0,"area":null},{"id":"2605.02611","title":"Selective Prediction from Agreement: A Lipschitz-Consistent Version Space Approach","created":"2026-05-04","cited_by_count":0,"area":null},{"id":"2607.11983","title":"Removable Defects: The Economics and Limits of Deliberate Deficiency","created":"2026-07-13","cited_by_count":0,"area":null}],"next_cursor":null}