cbsong's repositories
CIBHash
source code for paper "Unsupervised Hashing with Contrastive Information Bottleneck" published in IJCAI 2021
A-Unified-Approach-to-Interpreting-and-Boosting-Adversarial-Transferability
A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)
DeepLearningFromScratch
《深度学习入门：基于Python的理论与实现》电子版及配套代码。
LeBA
[NeurIPS'20] Learning Black-Box Attackers with Transferable Priors and Query Feedback
SurFree
SurFree: a fast surrogate-free black-box attack
PMRID
ECCV2020 - Practical Deep Raw Image Denoising on Mobile Devices
CAA
The implementation of the paper [Composite Adversarial Attacks](https://arxiv.org/abs/2012.05434) in AAAI2021
pytorch-regnet
A single-file, modularized implementation of RegNet using Pytorch
StegaStamp
Invisible Hyperlinks in Physical Photographs
TRADES
TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)
RayS
RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)
cifar10_challenge
Code for the CVPR 2020 article "Adversarial Vertex mixup: Toward Better Adversarially Robust Generalization"
Data-Science-Notes
数据科学的笔记以及资料搜集
pytorch-distributed
A quickstart and benchmark for pytorch distributed training.
Landmark2019-1st-and-3rd-Place-Solution
The 1st Place Solution of the Google Landmark 2019 Retrieval Challenge and the 3rd Place Solution of the Recognition Challenge.
ClusTR-Clustering-Training-For-Robustness
This is the official implementation of ClusTR: Clustering Training for Robustness paper.
OptML_course
EPFL Course - Optimization for Machine Learning - CS-439
MART
Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"
knockoffnets
Knockoff Nets: Stealing Functionality of Black-Box Models
RobNets
[CVPR 2020] When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks
cutblur
Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)
robust-local-lipschitz
Adversarial Robustness Through Local Lipschitzness
FeatureScatter
Feature Scattering Adversarial Training
FeatureAttack
Strongest attack against Feature Scatter and Adversarial Interpolation
face-dataset-cleaner
An implementation to clean large scale public face dataset
robust_audio_ae
Robust Audio Adversarial Example for a Physical Attack