data poisoning

CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning ICCV 2023 Computation and Data Efficient Backdoor Attacks ICCV 2023 CUDA: Convolution-Based Unlearnable Datasets CVPR 2023 Data Poisoning Attacks Against Multimodal Encoders ICML 2023 Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning CVPR 2023 Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks ICML 2023 Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks NeurIPS 2023 Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression ICML 2023 Incompatibility Clustering as a Defense Against Backdoor Poisoning Attacks ICLR 2023 Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning ICLR 2023 Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning? ICLR 2023 On the Exploitability of Instruction Tuning NeurIPS 2023 Poisoning-Based Backdoor Attacks in Computer Vision AAAI 2023 Poisoning Language Models During Instruction Tuning ICML 2023 Rethinking Backdoor Attacks ICML 2023 Robust Contrastive Language-Image Pretraining against Data Poisoning and Backdoor Attacks NeurIPS 2023 Run-off Election: Improved Provable Defense against Data Poisoning Attacks ICML 2023 Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors ICLR 2023 Temporal Robustness against Data poisoning NeurIPS 2023 The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning ICCV 2023 UPTON: Preventing Authorship Leakage from Public Text Release via Data Poisoning EMNLP 2023 What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners? NeurIPS 2023 Adversarial Unlearning of Backdoors via Implicit Hypergradient ICLR 2022 Amplifying Membership Exposure via Data Poisoning NeurIPS 2022 An Equivalence Between Data Poisoning and Byzantine Gradient Attacks ICML 2022