harishgovardhandamodar Goto Github PK
Type: User
Company: SWIFT
Bio: Researching Security and Privacy on AI / ML @ Swift - Society for Worldwide Interbank Financial Telecommunications
Type: User
Company: SWIFT
Bio: Researching Security and Privacy on AI / ML @ Swift - Society for Worldwide Interbank Financial Telecommunications
Code for attacking state-of-the-art face-recognition system from our paper: M. Sharif, S. Bhagavatula, L. Bauer, M. Reiter. "Accessorize to a Crime: Real and Stealthy Attacks on State-of-the-Art Face Recognition." In Proc. CCS, 2016.
Code for paper "Grey-box adversarial attack and defence for texts"
here you can find the material used for our Tutorials
From Gradient Leakage to Adversarial Attacks in Federated Learning
PyTorch implementation of adversarial attacks.
Code for the paper: "Adversarial Examples for Models of Code"
💡 Adversarial attacks on explanations and how to defend them
[NeurIPS 2021] "Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models" by Boxin Wang*, Chejian Xu*, Shuohang Wang, Zhe Gan, Yu Cheng, Jianfeng Gao, Ahmed Hassan Awadallah, Bo Li.
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Improving the Generalization of Adversarial Training with Domain Adaptation
Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
A pytorch adversarial library for attack and defense methods on images and graphs
Adversarial text generation
A Toolbox for Adversarial Robustness Research
Adversarial Threat Landscape for AI Systems
Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"
A curated list of Best Artificial Intelligence Resources
Security and Privacy Risk Simulator for Machine Learning
Methods for removing learned data from neural nets and evaluation of those methods
Sketch-Based Anomaly Detection in Streaming Graphs
Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS, 2022)
A set of scripts to grab public datasets from resources related to arXiv
Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)
Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)
Federated Learning Library: https://fedml.ai
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.