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adversarial-glue

[NeurIPS 2021] "Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models" by Boxin Wang*, Chejian Xu*, Shuohang Wang, Zhe Gan, Yu Cheng, Jianfeng Gao, Ahmed Hassan Awadallah, Bo Li.

aug-pe

Differentially Private Synthetic Data via Foundation Model APIs 2: Text

big-but-invisible-adversarial-attack

This repo contains the code for CVPR submission "Big but Invisible Adversarial Attack"

certified-fairness

Code for Certifying Some Distributional Fairness with Subpopulation Decomposition [NeurIPS 2022]

certified-robustness-sok-oldver

This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on popular datasets and paper categorization.

characterizing-audio-adversarial-examples-using-temporal-dependency

ICLR 2019 Paper, "Characterizing Audio Adversarial Examples using Temporal Dependency".

copa

[ICLR 2022] COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks

copa_atari

copa_highway

copur

CoPur: Certifiably Robust Collaborative Inference via Feature Purification (NeurIPS 2022)

covid-announcement

crfl

CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)

crop

[ICLR 2022] CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing

datalens

[CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long*, Luka Rimanic, Ce Zhang, Bo Li

dba

DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)

decodingtrust

A Comprehensive Assessment of Trustworthiness in GPT Models

decodingtrust-data-legacy

dmlw2022

dpfl-robustness

[CCS 2023] Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks

fedgame

Official implementation for paper "FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning" (NeurIPS 2023).

flbenchmark-toolkit

Federated Learning Framework Benchmark (UniFed)

g-pate

[NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*, Boxin Wang*, Zhuolin Yang, Bhavya Kailkhura, Aston Zhang, Carl A. Gunter, Bo Li

gmi-attack

helm

Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110).

hf-blog

Public repo for HF blog posts

infobert

[ICLR 2021] "InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective" by Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu

knn-pvldb

Official Repo for "Efficient task-specific data valuation for nearest neighbor algorithms"

knn-shapley

knowledge-enhanced-machine-learning-pipeline

Repository for Knowledge Enhanced Machine Learning Pipeline (KEMLP)

layerwise-orthogonal-training