A toolbox for benchmarking trustworthiness of multimodal large language models (MultiTrust, NeurIPS 2024 Track Datasets and Benchmarks)

Command line interface to the freedesktop.org trashcan.

Papers and resources related to the security and privacy of LLMs 🤖

A curation of awesome tools, documents and projects about LLM Security.

A new markup-based typesetting system that is powerful and easy to learn.

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Certified Object Detection with Randomized Median Smoothing

Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)

Adversarial Texture for Fooling Person Detectors in the Physical World

A paper list for localized adversarial patch research

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation （ICCV2021）

The official PyTorch implementation of "Adversarially-Aware Robust Object Detector"

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

OpenMMLab Detection Toolbox and Benchmark

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

OpenMMLab Pre-training Toolbox and Benchmark

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

Max Mahalanobis Training (ICML 2018 + ICLR 2020)

Code for "On Adaptive Attacks to Adversarial Example Defenses"

Highly configurable out-of-order MIPS32 processor, capable of booting Linux.

PyTorch implementation of adversarial attacks [torchattacks]

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AXI Interface Nand Flash Controller (Sync mode)

雷课堂大作业

SonicBOOM: The Berkeley Out-of-Order Machine