Alternatives and similar repositories for ERM-KTP

Users that are interested in ERM-KTP are comparing it to the libraries listed below

• OPTML-Group / Unlearn-Sparse
  [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…
  ☆83Updated last year
• lmgraves / AmnesiacML
  Methods for removing learned data from neural nets and evaluation of those methods
  ☆38Updated 5 years ago
• abc03570128 / Jailbreaking-Attack-against-Multimodal-Large-Language-Model
  ☆58Updated last year
• umd-huang-lab / VLM-Poisoning
  Code for Neurips 2024 paper "Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models"
  ☆59Updated last year
• AdityaGolatkar / SelectiveForgetting
  ☆59Updated 5 years ago
• MartinPawelczyk / In-Context-Unlearning
  "In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.
  ☆29Updated 2 years ago
• SCLBD / DBD
  ☆32Updated 3 years ago
• yunqing-me / AttackVLM
  [NeurIPS-2023] Annual Conference on Neural Information Processing Systems
  ☆226Updated last year
• euanong / image-hijacks
  Official codebase for Image Hijacks: Adversarial Images can Control Generative Models at Runtime
  ☆54Updated 2 years ago
• lafeat / apbench
  APBench: A Unified Availability Poisoning Attack and Defenses Benchmark (TMLR 08/2024)
  ☆46Updated 9 months ago
• reds-lab / CLIP-MIA
  This is an official repository for Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study (ICCV2023…
  ☆24Updated 2 years ago
• inspire-group / DP-RandP
  [NeurIPS 2023] Differentially Private Image Classification by Learning Priors from Random Processes
  ☆12Updated 2 years ago
• chiayi-hsu / Ring-A-Bell
  ☆38Updated last year
• jinhaoduan / SecMI
  [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?
  ☆42Updated last year
• isXinLiu / MM-SafetyBench
  Accepted by ECCV 2024
  ☆186Updated last year
• inspire-group / tta_risk
  ☆14Updated 2 years ago
• lucweytingh / ARL-UvA
  A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demog…
  ☆20Updated 5 years ago
• OPTML-Group / Unlearn-Saliency
  [ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation…
  ☆141Updated 8 months ago
• phycholosogy / RAG-privacy
  The code for paper "The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)", exploring the privacy risk o…
  ☆64Updated last year
• erfanshayegani / Jailbreak-In-Pieces
  [ICLR 2024 Spotlight 🔥 ] - [ Best Paper Award SoCal NLP 2023 🏆] - Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal…
  ☆79Updated last year
• AlanPeng0897 / Defend_MI
  [KDD 2022] "Bilateral Dependency Optimization: Defending Against Model-inversion Attacks"
  ☆24Updated 5 months ago
• bboylyg / RNP
  Reconstructive Neuron Pruning for Backdoor Defense (ICML 2023)
  ☆39Updated 2 years ago
• ys-zong / VLGuard
  [ICML 2024] Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models.
  ☆84Updated last year
• YitingQu / unsafe-diffusion
  ☆47Updated last year
• zqypku / mm_poison
  ☆21Updated 2 years ago
• reds-lab / Meta-Sift
  The official implementation of USENIX Security'23 paper "Meta-Sift" -- Ten minutes or less to find a 1000-size or larger clean subset on …
  ☆20Updated 2 years ago
• byerose / Awesome-Foundation-Model-Security
  A curated list of trustworthy Generative AI papers. Daily updating...
  ☆76Updated last year
• neelsjain / baseline-defenses
  Official Code for "Baseline Defenses for Adversarial Attacks Against Aligned Language Models"
  ☆31Updated 2 years ago
• jinyuan-jia / BadEncoder
  ☆83Updated 4 years ago
• meghdadk / SCRUB
  ☆51Updated last year