ziangyan Goto Github PK

amm.pytorch

Implementation of our T-PAMI 2019 paper: Adversarial Margin Maximization Networks

deepdefense.pytorch

Implementation of our NeurIPS 2018 paper: Deep Defense: Training DNNs with Improved Adversarial Robustness

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

learn-new-tools

pda.pytorch

Implementation of our ICLR 2021 paper: Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples.

subspace-attack.pytorch

Implementation of our NeurIPS 2019 paper: Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks

taobao_image_search

淘宝拍照找同款数据爬虫

v2ray-agent

（VLESS+TCP+TLS/VLESS+TCP+XTLS/VLESS+gRPC+TLS/VLESS+WS+TLS/VMess+TCP+TLS/VMess+WS+TLS/Trojan+TCP+TLS/Trojan+gRPC+TLS/Trojan+TCP+XTLS）+伪装站点、八合一共存脚本，支持多内核安装

xray-core

Xray, Penetrates Everything. Also the best v2ray-core, with XTLS support. Fully compatible configuration.

ziangyan.github.io

My personal webpage