git-disl

awesome-LLM-game-agent-papers

A Survey on Large Language Model-Based Game Agents

awesome_LLM-harmful-fine-tuning-papers

A survey on harmful fine-tuning attack for large language model

PokeLLMon

EllipticPlusPlus

Elliptic++ Dataset: A Graph Network of Bitcoin Blockchain Transactions and Wallet Addresses

BERT4ETH

BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection (WWW23)

GPTLens

Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives (TPS23)

Virus

This is the official code for the paper "Virus: Harmful Fine-tuning Attack for Large Language Models Bypassing Guardrail Moderation"

Vaccine

This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)

Booster

This is the official code for the paper "Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation" (ICLR2025 Oral).

Lockdown

A backdoor defense for federated learning via isolated subspace training (NeurIPS2023)

Safety-Tax

This is the official code for the paper "Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable".

Lisa

This is the official code for the paper "Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning" (NeurIPS2024)

EnsembleBench

A holistic framework for promoting high diversity ensemble learning.

Chameleon

EMO

Efficient Multi-Object Tracking for Edge devices

EENet

Code for Adaptive Deep Neural Network Inference Optimization with EENet

GTDLBench

Benchmarking Deep Learning Frameworks

recap

Code for CVPR24 Paper - Resource-Efficient Transformer Pruning for Finetuning of Large Models

ZipZap

llm-topla

AFOG

Unofficial re-implementation of "Adversarial Attention Perturbations for Large Object Detection Transformers"

Antidote

This is the unofficial re-implementation of "Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuning Attack" (ICML2025)

GTLLMZoo

GTLLMZoo: A comprehensive framework that aggregates LLM benchmark data from multiple sources with an interactive UI for efficient model comparison, filtering, and evaluation across performance, safety, and efficiency metrics.

Fed-alphaCDP

This repo is for paper Securing Distributed SGD against Gradient Leakage Threats submitted to IEEE TPDS.

GradCloak

Code for GradCloak: Gradient Obfuscation for Privacy-Preserving Distributed Learning as a Service

HeteRobust

Fusion-Shot

GPTLens-Demo

This demo provides a scenario-based walkthrough of how GPTLens utilizes LLMs to examine smart contract code and detect vulnerabilities.

PFT

Atlas

Atlas, a hybrid cloud migration advisor offers migration recommendations with customizable performance, cost and availability trade-offs. Also check our API resource estimation work below.