GPT Meet Zotero.

TeXstudio is a fully featured LaTeX editor. Our goal is to make writing LaTeX documents as easy and comfortable as possible.

Please refer to this repository for the full source code: https://github.com/CEA-LIST/adv-reid

Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking

The code of "Adversarial Metric Attack for Person Re-identification"

ReColorAdv and other attacks from the NeurIPS 2019 paper "Functional Adversarial Attacks"

The official code of "Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search Benchmark"

Robust machine learning for responsible AI

An unrestricted attack based on diffusion models that can achieve both good transferability and imperceptibility.

A new adversarial purification method that uses the forward and reverse processes of diffusion models to remove adversarial perturbations.

船长关于机器学习、计算机视觉和工程技术的总结和分享

The project page of paper: Universal Perturbation Attack Against Image Retrieval [ICCV 2019]

Code for AAAI 2021 paper ``MetaAttack"

CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

Benchmarks for Corruption Invariant Person Re-identification. [NeurIPS 2021 Track on Datasets and Benchmarks]

This is the code for semi-supervised robust training (SRT).

Metric Adversarial Attacks and Defense

The project page of paper: Universal Perturbation Attack Against Image Retrieval [ICCV 2019]

Web-based dashboard for Sacred

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

The implementation of our paper: Towards Robust Vision Transformer (CVPR2022)

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

Paper collection for cloth variation based person re-identification

The implementatin of our ECCV 2020 work: Targeted Attack for Deep Hashing based Retrieval.

The implementation of our paper: Towards Robust Vision Transformer (CVPR2022)

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities