susie-ku

AdvEncoder

The implementation of our ICCV 2023 paper "Downstream-agnostic Adversarial Examples"

ARENA_3.0

assistance_request

augmented_lagrangian_adversarial_attacks

Code for the ICCV 2021 paper "Augmented Lagrangian Adversarial Attacks"

Co-Attack

official PyTorch implement of Towards Adversarial Attack on Vision-Language Pre-training Models

coding_theory

CoLES_project_ML

Dash_for_IoT

DiAP

A Data Independent Approach to Generate Adversarial Patches

ForecastPFN

susie-ku/ForecastPFN

susie-ku/AdvEncoder

The implementation of our ICCV 2023 paper "Downstream-agnostic Adversarial Examples"

susie-ku/ARENA_3.0

susie-ku/assistance_request

susie-ku/augmented_lagrangian_adversarial_attacks

Code for the ICCV 2021 paper "Augmented Lagrangian Adversarial Attacks"

susie-ku/Co-Attack

official PyTorch implement of Towards Adversarial Attack on Vision-Language Pre-training Models

susie-ku/coding_theory

susie-ku/CoLES_project_ML

susie-ku/Dash_for_IoT

susie-ku/DiAP

A Data Independent Approach to Generate Adversarial Patches

susie-ku/dragon

это тестовый репозиторий для шалостей

susie-ku/EAD-Attack

Codes for reproducing the white-box adversarial attacks in “EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples,” AAAI 2018

susie-ku/fuzzy_time_series

Some code and simulations for my bachelor thesis

susie-ku/GreedyFool

GreedyFool (NIPS2020) official code for saprse adversarial attack

susie-ku/ModelBiasedAttack

susie-ku/MultiRobustness

Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019

susie-ku/NMA_TDA_Hacklberry

Here's our repository for TDA project for Neuromatch Academy. Exploring persistent homology in mice's brain.

susie-ku/Patch-Fool

[ICLR 2022] "Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?" by Yonggan Fu, Shunyao Zhang, Shang Wu, Cheng Wan, Yingyan Lin

susie-ku/probability_hse_exams

Probability and statistics exams, Higher School of Economics

susie-ku/SGA

Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models. [ICCV 2023]

susie-ku/sgd-uap-torch

Universal Adversarial Perturbations (UAPs) for PyTorch

susie-ku/SimMTM

About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.org/abs/2302.00861

susie-ku/Sparse-Adversarial-Attack

Implementation of ECCV 2020 "Sparse Adversarial Attack via Perturbation Factorization"

susie-ku/sparse-imperceivable-attacks

Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).

susie-ku/SparseFool

A fast sparse attack on deep neural networks.

susie-ku/StrAttack

StrAttack, ICLR 2019

susie-ku/TabPFN

Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.

susie-ku/tabular-dl-tabr

The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"