poisoning attack

Training-Time Attacks against K-nearest Neighbors AAAI 2023 Turning Strengths Into Weaknesses: A Certified Robustness Inspired Attack Framework Against Graph Neural Networks CVPR 2023 Understanding Backdoor Attacks through the Adaptability Hypothesis ICML 2023 Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense AAAI 2023 What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners? NeurIPS 2023 A General Framework for Auditing Differentially Private Machine Learning NeurIPS 2022 Backdoor Attacks on Self-Supervised Learning CVPR 2022 BackdoorBench: A Comprehensive Benchmark of Backdoor Learning NeurIPS 2022 CLPA: Clean-Label Poisoning Availability Attacks Using Generative Adversarial Nets AAAI 2022 COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks ICLR 2022 FedInv: Byzantine-Robust Federated Learning by Inversing Local Model Updates AAAI 2022 Hard to Forget: Poisoning Attacks on Certified Machine Unlearning AAAI 2022 Learning to Attack Federated Learning: A Model-based Reinforcement Learning Attack Framework NeurIPS 2022 On Optimal Learning Under Targeted Data Poisoning NeurIPS 2022 Poisoning and Backdooring Contrastive Learning ICLR 2022 Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios IJCAI 2022 Robustly-reliable learners under poisoning attacks COLT 2022 Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification AAAI 2022 Towards Class-Oriented Poisoning Attacks Against Neural Networks WACV 2022 Towards One Shot Search Space Poisoning in Neural Architecture Search (Student Abstract) AAAI 2022 Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning IJCAI 2022 Accumulative Poisoning Attacks on Real-time Data NeurIPS 2021 Adversarial Examples Make Strong Poisons NeurIPS 2021 A Separation Result Between Data-oblivious and Data-aware Poisoning Attacks NeurIPS 2021 Attacks against Ranking Algorithms with Text Embeddings: A Case Study on Recruitment Algorithms EMNLP 2021