data poisoning

Autoregressive Perturbations for Data Poisoning NeurIPS 2022 BagFlip: A Certified Defense Against Data Poisoning NeurIPS 2022 Can Adversarial Training Be Manipulated By Non-Robust Features? NeurIPS 2022 Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks AAAI 2022 Data Poisoning Won’t Save You From Facial Recognition ICLR 2022 Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attack NeurIPS 2022 Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation ICML 2022 Lethal Dose Conjecture on Data Poisoning NeurIPS 2022 Not All Poisons are Created Equal: Robust Training against Data Poisoning ICML 2022 On Collective Robustness of Bagging Against Data Poisoning ICML 2022 On Optimal Learning Under Targeted Data Poisoning NeurIPS 2022 Robustly-reliable learners under poisoning attacks COLT 2022 Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification AAAI 2022 Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch NeurIPS 2022 Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks CVPR 2022 Understanding Simultaneous Train and Test Robustness ALT 2022 WeDef: Weakly Supervised Backdoor Defense for Text Classification EMNLP 2022 Accumulative Poisoning Attacks on Real-time Data NeurIPS 2021 Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods EMNLP 2021 Adversarial Examples Make Strong Poisons NeurIPS 2021 A Gradient Method for Multilevel Optimization NeurIPS 2021 Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models NAACL 2021 BFClass: A Backdoor-free Text Classification Framework EMNLP 2021 CLEAR: Clean-Up Sample-Targeted Backdoor in Neural Networks ICCV 2021 Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning IJCAI 2021