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Stars98
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Rank 343,815 (Top 7 %)
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Created about 5 years ago
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Updated almost 2 years ago
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Repository Details
This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on popular datasets and paper categorization.
More Repositories
1
DecodingTrust
A Comprehensive Assessment of Trustworthiness in GPT ModelsPython
240
2
DBA
DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)Python
173
3
VeriGauge
A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]C
85
4
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 LiuPython
83
5
CRFL
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)Python
69
6
multi-task-learning
Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxiang Wang, Han Zhao, Bo Li.Python
64
7
Meta-Nerual-Trojan-Detection
Python
57
8
SemanticAdv
Python
54
9
FLBenchmark-toolkit
Federated Learning Framework Benchmark (UniFed)Python
47
10
Robustness-Against-Backdoor-Attacks
RAB: Provable Robustness Against Backdoor AttacksPython
35
11
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 LiPython
35
12
QEBA
Code for CVPR2020 paper QEBA: Query-Efficient Boundary-Based Blackbox AttackPython
30
13
Big-but-Invisible-Adversarial-Attack
This repo contains the code for CVPR submission "Big but Invisible Adversarial Attack"Python
30
14
Shapley-Study
[CVPR 2021] Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification?Python
29
15
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 LiPython
27
16
T3
[EMNLP 2020] "T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack" by Boxin Wang, Hengzhi Pei, Boyuan Pan, Qian Chen, Shuohang Wang, Bo LiPython
26
17
KNN-PVLDB
Official Repo for "Efficient task-specific data valuation for nearest neighbor algorithms"Jupyter Notebook
25
18
aug-pe
[ICML 2024] Differentially Private Synthetic Data via Foundation Model APIs 2: TextPython
23
19
Transferability-Reduced-Smooth-Ensemble
Python
22
20
GMI-Attack
Python
21
21
semantic-randomized-smoothing
[CCS 2021] TSS: Transformation-specific smoothing for robustness certification
Roff
20
22
LinkTeller
[IEEE S&P 22] "LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis" by Fan Wu, Yunhui Long, Ce Zhang, Bo LiPython
19
23
SemAttack
[NAACL 2022] "SemAttack: Natural Textual Attacks via Different Semantic Spaces" by Boxin Wang, Chejian Xu, Xiangyu Liu, Yu Cheng, Bo LiPython
18
24
Uncovering-the-Connections-BetweenAdversarial-Transferability-and-Knowledge-Transferability
code for ICML 2021 paper in which we explore the relationship between adversarial transferability and knowledge transferability.Python
16
25
Characterizing-Audio-Adversarial-Examples-using-Temporal-Dependency
ICLR 2019 Paper, "Characterizing Audio Adversarial Examples using Temporal Dependency".Python
11
26
Does-Adversairal-Transferability-Indicate-Knowledge-Transferability
code for ICML 2021 paper in which we explore the relationship between adversarial transferability and knowledge transferability.Python
11
27
Knowledge-Enhanced-Machine-Learning-Pipeline
Repository for Knowledge Enhanced Machine Learning Pipeline (KEMLP)Python
10
28
stAdv-Spatially-Transformed-Adversarial-Examples-
Official Implementation of paper https://arxiv.org/abs/1801.02612Python
10
29
CoPur
CoPur: Certifiably Robust Collaborative Inference via Feature Purification (NeurIPS 2022)Python
9
30
NonLinear-BA
The code accompanying paper: Nonlinear Gradient Estimation for Query Efficient Blackbox AttackPython
9
31
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.Python
9
32
CROP
[ICLR 2022] CROP: Certifying Robust Policies for Reinforcement Learning through Functional SmoothingPython
8
33
COPA
[ICLR 2022] COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks
8
34
PSBA
[ICML 2021] "Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation" by Jiawei Zhang*, Linyi Li*, Huichen Li, Xiaolu Zhang, Shuang Yang, Bo LiPython
6
35
DPFL-Robustness
[CCS 2023] Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning AttacksPython
6
36
Layerwise-Orthogonal-Training
Python
5
37
SecretGen
A general model inversion attack against large pre-trained models.Python
4
38
Certified-Fairness
Code for Certifying Some Distributional Fairness with Subpopulation Decomposition [NeurIPS 2022]Python
4
39
Meta-Neural-Kernel
The official implementation of Meta Neural Kernel (MNK), a kernel method for meta-learningPython
4
40
TextGuard
TextGuard: Provable Defense against Backdoor Attacks on Text ClassificationPython
4
41
KNN-shapley
Python
3
42
MMDT
Comprehensive Assessment of Trustworthiness in Multimodal Foundation ModelsJupyter Notebook
3
43
FedGame
Official implementation for paper "FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning" (NeurIPS 2023).
2
44
COPA_Atari
Python
1