fshp971 / mcmc-unlearning

Related projects ⓘ

Alternatives and complementary repositories for mcmc-unlearning

• tmllab / 2022_NeurIPS_PICMM
  ☆22Updated last year
• fshp971 / robust-unlearnable-examples
  [ICLR 2022] Official repository for "Robust Unlearnable Examples: Protecting Data Against Adversarial Learning"
  ☆43Updated 4 months ago
• xianruizhong / SpHAM
  [ICLR 2022] Huber Additive Models for Non-stationary Time Series Analysis
  ☆17Updated 2 years ago
• Raiden-Zhu / Generalization-of-DSGD
  The official implementation of the paper "Topology-aware Generalization of Decentralized SGD"
  ☆34Updated last year
• kanxueli / llm_benchmarks
  ☆28Updated 3 months ago
• dingfengshi / ReAct
  [ECCV 2022] Code for the paper, ReAct: Temporal Action Detection with Relational Queries
  ☆40Updated 2 years ago
• CausalLearning / Maze-based-CRL
  ☆22Updated last month
• CausalLearning / ACTIN
  ☆20Updated last month
• tanganke / fusion_bench
  FusionBench: A Comprehensive Benchmark/Toolkit of Deep Model Fusion
  ☆86Updated this week
• ys-zong / VLGuard
  [ICML 2024] Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models.
  ☆45Updated 3 months ago
• OPTML-Group / ILM-VP
  [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…
  ☆51Updated last year
• wangyu-ustc / LM4CV
  The official implementation of the paper **Learning Concise and Descriptive Attributes for Visual Recognition**
  ☆39Updated 11 months ago
• inspire-group / tta_risk
  ☆9Updated last year
• ZSHsh98 / EPS-AD
  This is the source code for Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score (ICML2023).
  ☆33Updated last month
• mr-eggplant / FOA
  Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes
  ☆51Updated 3 months ago
• dwDavidxd / ARN
  Towards Defending against Adversarial Examples via Attack-Invariant Features
  ☆8Updated last year
• mala-lab / NegPrompt
  The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"
  ☆40Updated 7 months ago
• Haochen-Luo / CroPA
  ☆30Updated 5 months ago
• elaine-sui / TPS
  ☆13Updated last month
• skzhang1 / IDEAL
  IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
  ☆58Updated 10 months ago
• conditionWang / NTL
  This is the code of ICLR 2022 Oral paper 'Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Au…
  ☆30Updated last year
• cvlab-columbia / ZSRobust4FoundationModel
  ☆38Updated last year
• ybwang119 / label_recovery
  [ICLR 2024] Towards Elminating Hard Label Constraints in Gradient Inverision Attacks
  ☆12Updated 9 months ago
• TomSheng21 / AdaptGuard
  ICCV 2023 - AdaptGuard: Defending Against Universal Attacks for Model Adaptation
  ☆11Updated 10 months ago
• azshue / TPT
  Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))
  ☆145Updated 2 years ago
• dwDavidxd / MIAT
  Improving Adversarial Robustness via Mutual Information Estimation
  ☆9Updated 7 months ago
• adarobustness / adaptation_robustness
  Evaluate robustness of adaptation methods on large vision-language models
  ☆17Updated last year
• deeplearning-wisc / poem
  PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022
  ☆28Updated last year
• zhangxin-xd / Dataset-Pruning-TDDS
  The official implement of paper "Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning"
  ☆12Updated 3 months ago
• BeierZhu / GLA
  [NeurIPS 2023] Generalized Logit Adjustment
  ☆34Updated 7 months ago