Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

An AI Hedge Fund Team

MacOS-Apps-Utils

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

A bepinex mod to enhance game experience (maybe)

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…

中文 CSL 样式 - Zotero 中文社区

Official implementation of the ICCV2023 paper: Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation

Final Project for AM 207, Fall 2021. Review & experimentation with paper "Adversarial Examples Are Not Bugs, They Are Features"

Theory and PyTorch implementation of Deep Variational Information Bottleneck

PyTorch Implementation for paper: How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations?

APBench: A Unified Availability Poisoning Attack and Defenses Benchmark (TMLR 08/2024)

[ICCV 2023] "TRM-UAP: Enhancing the Transferability of Data-Free Universal Adversarial Perturbation via Truncated Ratio Maximization", Yiran Liu, Xin Feng, Yunlong Wang, Wu Yang, Di Ming*

[AAAI 2022] CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes

Universal Adversarial Perturbations (UAPs) for PyTorch

Spectrum simulation attack (ECCV'2022 Oral) towards boosting the transferability of adversarial examples

PatchBackdoor is a code base associated with paper PatchBackdoor.

Implementation of the paper Silent Killer

A curated list of papers & resources linked to data poisoning, backdoor attacks and defenses against them (no longer maintained)

A pytorch implementation that converts image RGB color space into HSV allowing differentiable back-propagate

A list of recent papers about adversarial learning

Code for Visual Information Hiding Based on Obfuscating Adversarial Perturbations