Alternatives and similar repositories for AdversarialTriggers:

Users that are interested in AdversarialTriggers are comparing it to the libraries listed below

• princeton-nlp / benign-data-breaks-safety
  ☆36Updated 7 months ago
• ejones313 / auditing-llms
  ☆54Updated 2 years ago
• declare-lab / resta
  Restore safety in fine-tuned language models through task arithmetic
  ☆28Updated last year
• locuslab / acr-memorization
  ☆33Updated 4 months ago
• weizeming / momentum-attack-llm
  ☆20Updated 3 months ago
• boyiwei / CoTaEval
  [NeurIPS 2024 D&B] Evaluating Copyright Takedown Methods for Language Models
  ☆17Updated 9 months ago
• tml-epfl / icl-alignment
  Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]
  ☆29Updated 3 months ago
• sail-sg / I-FSJ
  Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)
  ☆61Updated 3 months ago
• UCSC-VLAA / AttnGCG-attack
  ☆14Updated 6 months ago
• Vaidehi99 / InfoDeletionAttacks
  ☆42Updated 2 months ago
• tml-epfl / long-is-more-for-alignment
  Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning [ICML 2024]
  ☆17Updated last year
• zhaoyiran924 / Probe-Sampling
  [NeurIPS 2024] Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling
  ☆27Updated 5 months ago
• JasonForJoy / Model-Editing-Hurt
  EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
  ☆35Updated 5 months ago
• SafeAILab / RAIN
  [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
  ☆92Updated 11 months ago
• leix28 / prompt-universal-vulnerability
  Implementation of the paper "Exploring the Universal Vulnerability of Prompt-based Learning Paradigm" on Findings of NAACL 2022
  ☆29Updated 2 years ago
• OSU-NLP-Group / AgentAttack
  ☆18Updated 6 months ago
• yihuaihong / ConceptVectors
  ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"
  ☆35Updated 2 months ago
• DYR1 / MoGU
  Our research proposes a novel MoGU framework that improves LLMs' safety while preserving their usability.
  ☆15Updated 3 months ago
• Princeton-SysML / kNNLM_privacy
  Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888
  ☆35Updated 10 months ago
• tatsu-lab / linguistic_calibration
  Align your LM to express calibrated verbal statements of confidence in its long-form generations.
  ☆24Updated 11 months ago
• vfleaking / PTST
  Code for safety test in "Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates"
  ☆18Updated last year
• thestephencasper / explore_establish_exploit_llms
  ☆31Updated last year
• pratyushmaini / llm_dataset_inference
  Official Repository for Dataset Inference for LLMs
  ☆33Updated 9 months ago
• yuplin2333 / representation-space-jailbreak
  Code repo of our paper Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis (https://arxiv.org/abs/2406.10794…
  ☆19Updated 9 months ago
• MaheepChaudhary / SAE-Ravel
  Providing the answer to "How to do patching on all available SAEs on GPT-2?". It is an official repository of the implementation of the p…
  ☆11Updated 3 months ago
• dannyallover / overthinking_the_truth
  ☆29Updated last year
• thestephencasper / latent_adversarial_training
  ☆21Updated 9 months ago
• zhxieml / remiss-jailbreak
  ☆27Updated 10 months ago
• weichen-yu / LM-Extraction
  ☆42Updated last year
• decoding-comp-trust / comp-trust
  Codebase for decoding compressed trust.
  ☆23Updated 11 months ago