{"total":26,"rows":[{"id":"2104.03413","title":"Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective","created":"2021-04-07","cited_by_count":161,"area":"safety"},{"id":"2205.01992","title":"Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning","created":"2022-05-04","cited_by_count":94,"area":"safety"},{"id":"2303.03323","title":"CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning","created":"2023-03-06","cited_by_count":63,"area":"safety"},{"id":"2303.15180","title":"Detecting Backdoors in Pre-trained Encoders","created":"2023-03-23","cited_by_count":55,"area":"safety"},{"id":"2110.06904","title":"Poison Forensics: Traceback of Data Poisoning Attacks in Neural Networks","created":"2021-10-13","cited_by_count":40,"area":"safety"},{"id":"2210.09671","title":"Not All Poisons are Created Equal: Robust Training against Data Poisoning","created":"2022-10-18","cited_by_count":30,"area":"safety"},{"id":"2102.13624","title":"What Doesn't Kill You Makes You Robust(er): How to Adversarially Train against Data Poisoning","created":"2021-02-26","cited_by_count":22,"area":"safety"},{"id":"2208.10224","title":"Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attacks","created":"2022-08-14","cited_by_count":21,"area":"safety"},{"id":"2302.02300","title":"Run-Off Election: Improved Provable Defense against Data Poisoning Attacks","created":"2023-02-05","cited_by_count":17,"area":"safety"},{"id":"2406.06186","title":"A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks","created":"2024-06-10","cited_by_count":15,"area":"safety"},{"id":"2210.10886","title":"Backdoor Attack and Defense in Federated Generative Adversarial Network-based Medical Image Synthesis","created":"2022-10-19","cited_by_count":12,"area":"safety"},{"id":"2201.12211","title":"Backdoors Stuck At The Frontdoor: Multi-Agent Backdoor Attacks That Backfire","created":"2022-01-28","cited_by_count":4,"area":"safety"},{"id":"2203.03692","title":"Low-Loss Subspace Compression for Clean Gains against Multi-Agent Backdoor Attacks","created":"2022-03-07","cited_by_count":4,"area":"safety"},{"id":"2404.11265","title":"The Victim and The Beneficiary: Exploiting a Poisoned Model to Train a Clean Model on Poisoned Data","created":"2024-04-17","cited_by_count":4,"area":"safety"},{"id":"2406.17277","title":"Securing Voice Authentication Applications Against Targeted Data Poisoning","created":"2024-06-25","cited_by_count":2,"area":"safety"},{"id":"2410.21453","title":"Inverting Gradient Attacks Makes Powerful Data Poisoning","created":"2024-10-28","cited_by_count":2,"area":"safety"},{"id":"2108.04206","title":"Classification Auto-Encoder based Detector against Diverse Data Poisoning Attacks","created":"2021-08-09","cited_by_count":1,"area":"safety"},{"id":"2309.08549","title":"HINT: Healthy Influential-Noise based Training to Defend against Data Poisoning Attacks","created":"2023-09-15","cited_by_count":1,"area":"safety"},{"id":"2403.13523","title":"Have You Poisoned My Data? Defending Neural Networks against Data Poisoning","created":"2024-03-20","cited_by_count":1,"area":"safety"},{"id":"2409.13004","title":"Data Poisoning and Leakage Analysis in Federated Learning","created":"2024-09-19","cited_by_count":1,"area":"safety"},{"id":"2410.01128","title":"Using Interleaved Ensemble Unlearning to Keep Backdoors at Bay for Finetuning Vision Transformers","created":"2024-10-01","cited_by_count":1,"area":"safety"},{"id":"2603.24857","title":"AI Security in the Foundation Model Era: A Comprehensive Survey from a Unified Perspective","created":"2026-03-25","cited_by_count":1,"area":"safety"},{"id":"2405.06073","title":"Hard Work Does Not Always Pay Off: Poisoning Attacks on Neural Architecture Search","created":"2024-05-09","cited_by_count":0,"area":"safety"},{"id":"2405.19376","title":"PureEBM: Universal Poison Purification via Mid-Run Dynamics of Energy-Based Models","created":"2024-05-28","cited_by_count":0,"area":"safety"},{"id":"2410.05284","title":"Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery","created":"2024-09-29","cited_by_count":0,"area":"safety"},{"id":"2506.15112","title":"PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning","created":"2025-06-18","cited_by_count":0,"area":"safety"}],"next_cursor":null}