| Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks | Mar 8, 2022 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| On Learning Contrastive Representations for Learning with Noisy Labels | Mar 3, 2022 | Learning with noisy labelsMemorization | CodeCode Available | 1 |
| KMIR: A Benchmark for Evaluating Knowledge Memorization, Identification and Reasoning Abilities of Language Models | Feb 28, 2022 | General KnowledgeMemorization | —Unverified | 0 |
| Memory Planning for Deep Neural Networks | Feb 23, 2022 | Memorization | —Unverified | 0 |
| Quantifying Memorization Across Neural Language Models | Feb 15, 2022 | FairnessMemorization | CodeCode Available | 2 |
| Membership Inference Attacks and Defenses in Neural Network Pruning | Feb 7, 2022 | Inference AttackMembership Inference Attack | CodeCode Available | 1 |
| Do We Need to Penalize Variance of Losses for Learning with Label Noise? | Jan 30, 2022 | Learning with noisy labelsMemorization | —Unverified | 0 |
| Collaborative Learning in General Graphs with Limited Memorization: Complexity, Learnability, and Reliability | Jan 29, 2022 | Memorization | —Unverified | 0 |
| Universal Online Learning with Unbounded Losses: Memory Is All You Need | Jan 21, 2022 | AllLearning Theory | —Unverified | 0 |
| Towards Adversarial Evaluations for Inexact Machine Unlearning | Jan 17, 2022 | Machine UnlearningMemorization | CodeCode Available | 1 |
