cspartalis / LoTUSLinks
Implementation of the CVPR2025 paper LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty.
☆16Updated 5 months ago
Alternatives and similar repositories for LoTUS
Users that are interested in LoTUS are comparing it to the libraries listed below
Sorting:
- [NeurIPS24] "What makes unlearning hard and what to do about it" [NeurIPS24] "Scalability of memorization-based machine unlearning"☆21Updated 8 months ago
- ☆13Updated 3 years ago
- Code of Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification☆11Updated 3 months ago
- Official repository for Targeted Unlearning with Single Layer Unlearning Gradient (SLUG), ICML 2025☆14Updated 6 months ago
- The official implementation of CVPR 2025 paper "Invisible Backdoor Attack against Self-supervised Learning"☆17Updated 7 months ago
- Code for the paper "Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction" …☆12Updated 2 years ago
- GTAR l2l generator unlearning project☆17Updated last year
- Official Repository for Heterogeneous Models Dataset Condensation (ECCV 2024, Oral)☆10Updated last year
- [CVPR 2023] Adversarial Robustness via Random Projection Filters☆13Updated 2 years ago
- Official Inplementation of CVPR23 paper "Backdoor Defense via Deconfounded Representation Learning"☆25Updated 2 years ago
- Towards Defending against Adversarial Examples via Attack-Invariant Features☆12Updated 2 years ago
- An Embarrassingly Simple Backdoor Attack on Self-supervised Learning☆20Updated 2 years ago
- [NeurIPS 23] Characterizing OOD Error via Optimal Transport☆13Updated 2 years ago
- ☆15Updated last year
- ☆16Updated 3 years ago
- [ICML2023] Revisiting Data-Free Knowledge Distillation with Poisoned Teachers☆23Updated last year
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Updated 4 years ago
- Official Implementation of the ECCV 2022 Paper "Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer"☆17Updated 3 years ago
- Official code for "Self-supervised learning with rotation-invariant kernels"☆12Updated 2 years ago
- [IJCV2025] https://arxiv.org/abs/2304.04521☆15Updated last year
- Official implementation of the CVPR 2022 paper "Backdoor Attacks on Self-Supervised Learning".☆76Updated 2 years ago
- source code for NeurIPS21 paper robabilistic Margins for Instance Reweighting in Adversarial Training☆11Updated 3 years ago
- ☆13Updated 2 years ago
- Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"☆41Updated 3 years ago
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆27Updated last year
- CIFAR-10-Warehouse: Towards Broad and More Realistic Testbeds in Model Generalization Analysis☆18Updated last year
- [SatML 2024] Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk☆16Updated 10 months ago
- source code for NeurIPS'22 paper "SIREN: Shaping Representations for Detecting Out-of-Distribution Objects"☆33Updated 2 years ago
- ☆12Updated 2 years ago
- ☆21Updated 4 years ago