Alternatives and similar repositories for Fast-BAT

Users that are interested in Fast-BAT are comparing it to the libraries listed below

• weijiaheng / Robust-f-divergence-measures
  [ICLR2021] Official Pytorch implementation of "When Optimizing f-Divergence is Robust with Label noise"
  ☆67Updated 2 years ago
• OPTML-Group / BiP
  [NeurIPS22] "Advancing Model Pruning via Bi-level Optimization" by Yihua Zhang*, Yuguang Yao*, Parikshit Ram, Pu Zhao, Tianlong Chen, Min…
  ☆116Updated 2 years ago
• wangren09 / MetaAdv
  ☆58Updated last year
• weijiaheng / Drops
  [ICLR 2023] Official Tensorflow implementation of "Distributionally Robust Post-hoc Classifiers under Prior Shifts"
  ☆34Updated last year
• jiaxiaojunQAQ / FGSM-PGK
  Improving fast adversarial training with prior-guided knowledge (TPAMI2024)
  ☆41Updated last year
• leigest519 / HiddenDetect
  ☆120Updated this week
• jiaxiaojunQAQ / SA-AET
  Code for Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack
  ☆34Updated 7 months ago
• lorraine021 / Awesome-MLLM-Hallucination
  A comprehensive collection of resources focused on addressing and understanding hallucination phenomena in MLLMs.
  ☆34Updated last year
• ForeverPs / Robust-Classification
  CVPR 2022 Workshop Robust Classification
  ☆78Updated 2 years ago
• UCSC-REAL / negative-label-smoothing
  [ICML2022 Long Talk] Official Pytorch implementation of "To Smooth or Not? When Label Smoothing Meets Noisy Labels"
  ☆96Updated 2 years ago
• wangren09 / MCGR
  ☆33Updated 4 months ago
• wangren09 / TrojanNetDetector
  Practical Detection of Trojan Neural Networks
  ☆119Updated 4 years ago
• shihongl1998 / LLM-as-a-blackbox-optimizer
  ☆66Updated 2 months ago
• jiaxiaojunQAQ / FGSM-LAW
  Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging (TIFS2024)
  ☆34Updated last year
• wangren09 / RAILS
  Deep Learning - Robustness - Immune System
  ☆13Updated 3 years ago
• weijiaheng / Multi-class-Peer-Loss-functions
  Learning with Noisy Labels by adopting a peer prediction loss function (deep learning & multi-class version).
  ☆19Updated 2 years ago
• UCSC-REAL / DS2
  [ICLR 2025] Improving Data Efficiency via Curating LLM-Driven Rating Systems
  ☆94Updated 2 months ago
• Jianf-Wang / NP-Match
  A Pytorch implementation of ICML 2022 paper "NP-Match: When Neural Processes meet Semi-Supervised Learning"
  ☆98Updated last year
• LetterLiGo / Inaudible-Adversarial-Perturbation-Vrifle
  [NDSS'24] Inaudible Adversarial Perturbation: Manipulating the Recognition of User Speech in Real Time
  ☆55Updated 8 months ago
• yxymessi / H2E-Framework
  [ECCV2022,oral] Identifying Hard Noise in Long-Tailed Sample Distribution
  ☆73Updated 2 years ago
• weijiaheng / Credible-sample-elicitation
  [AISTATS2021] Official implementation of "Sample Elicitation"
  ☆29Updated 4 years ago
• jiaxiaojunQAQ / I-GCG
  Improved techniques for optimization-based jailbreaking on large language models (ICLR2025)
  ☆102Updated last month
• yaoching0 / GaC
  ☆48Updated 7 months ago
• xiongsiheng / SWAP
  [ACL 25 main] Deliberate Reasoning in Language Models as Structure-Aware Planning with an Accurate World Model
  ☆34Updated 2 weeks ago
• LetterLiGo / SafeGen_CCS2024
  [CCS'24] SafeGen: Mitigating Unsafe Content Generation in Text-to-Image Models
  ☆130Updated 2 months ago
• TrustAIRLab / JailbreakRadar
  ☆74Updated this week
• deep-real / TRO
  The Pytorch implementation for "Topology-aware Robust Optimization for Out-of-Distribution Generalization" (ICLR 2023)
  ☆28Updated 2 months ago
• duguodong7 / Awesome-Knowledge-Fusion
  A collection of papers related to knowledge fusion
  ☆56Updated 7 months ago
• cuge1995 / IT-Defense
  Our code for paper 'The art of defense: letting networks fool the attacker', IEEE Transactions on Information Forensics and Security, 202…
  ☆10Updated 2 years ago
• cure-lab / GuardT2I
  [NeurIPS 2024] GuardT2I: Defending Text-to-Image Models from Adversarial Prompts
  ☆52Updated 2 weeks ago