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adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks.

adversarial-contrastive-learning

[NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang

awesome-vision-attentions

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

blvnet-tam

The official Codes for NeurIPS 2019 paper. Quanfu Fan, Ricarhd Chen, Hilde Kuehne, Marco Pistoia, David Cox, "More Is Less: Learning Efficient Video Representations by Temporal Aggregation Modules"

fast_adversarial

[ICLR 2020] A repository for extremely fast adversarial training using FGSM

freeadversarialtraining

PyTorch Implementation of Adversarial Training for Free!

gradcam

A PyTorch implementation of Grad-CAM based on ICCV 2017 paper "Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization"

gst-video

ICCV 19 Grouped Spatial-Temporal Aggretation for Efficient Action Recognition

gtbench

GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations

jinhaoduan.github.io

pytorch-classification-advprop

remind

ReMiND: Recovery of Missing Neuroimaging using Diffusion Models with Application to Alzheimer's Disease

robustness

Corruption and Perturbation Robustness (ICLR 2019)

sar

[ACL 2024] Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

secmi

[ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?

secmi-ldm

SecMI on Latent Diffusion Model (LDM)

temporal-adaptive-module

TAM: Temporal Adaptive Module for Video Recognition

temporal-shift-module

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding