harishgovardhandamodar
Researching Security and Privacy on AI / ML @ Swift - Society for Worldwide Interbank Financial Telecommunications
SWIFT
Pinned Repositories
accessorize-to-a-crime
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.
adv-def-text
Code for paper "Grey-box adversarial attack and defence for texts"
AdvancePyTorchGeometricTutorials
here you can find the material used for our Tutorials
adversarial-attack-from-leakage
From Gradient Leakage to Adversarial Attacks in Federated Learning
adversarial-attacks-pytorch
PyTorch implementation of adversarial attacks.
Awesome-Federated-Learning
Federated Learning Library: https://fedml.ai
foolbox
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
GraphLeaks
Code for the paper "Quantifying Privacy Leakage in Graph Embedding" published in MobiQuitous 2020
Model-Extraction-Attacks-against-GNN
harishgovardhandamodar's Repositories
harishgovardhandamodar/UNICON-Noisy-Label
Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning"
harishgovardhandamodar/robustness-foundation-models
This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.
harishgovardhandamodar/tabular_dae
harishgovardhandamodar/GraphSearchNet
This repo is the implementation of the paper "GraphSearchNet: Enhancing GNNs via Capturing Global Dependency for Semantic Code Search". We encode the programs and descriptions in a dual graph framework to learn the semantic similarity.
harishgovardhandamodar/faceswap
Deepfakes Software For All
harishgovardhandamodar/EvaluatingDPML
This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
harishgovardhandamodar/Fooling-LIME-SHAP
Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
harishgovardhandamodar/MetaHIN
Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"
harishgovardhandamodar/synthetic_data_release
harishgovardhandamodar/simulation_data_Learning_workshop
The ALCF hosts a regular simulation, data, and learning workshop to help users scale their applications. This repository contains the examples used in the workshop.
harishgovardhandamodar/tab-ddpm
Tabular diffusion model
harishgovardhandamodar/RODD
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection
harishgovardhandamodar/carla
Open-source simulator for autonomous driving research.
harishgovardhandamodar/Pytorch-Ignite
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
harishgovardhandamodar/are-gnn-defenses-robust
Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS, 2022)
harishgovardhandamodar/graph-dock
GNN enabled surrogate modeling for chemical docking
harishgovardhandamodar/TrafficFlowPrediction
Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).
harishgovardhandamodar/Awesome-Information-Bottleneck
This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.
harishgovardhandamodar/Diffusion-Models-pytorch
Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
harishgovardhandamodar/whisper
Robust Speech Recognition via Large-Scale Weak Supervision
harishgovardhandamodar/MulCS-Towards-a-unified-Deep-Representation-for-Multilingual-Code-Search.
An official source code for paper MulCS: Towards a unified Deep Representation for Multilingual Code Search.
harishgovardhandamodar/qiskit-trials
harishgovardhandamodar/RACE-Retrieval-Augmented-Commit-Message-Generation
Replication package for EMNLP2022 paper- RACE: Retrieval-Augmented Commit Message Generation
harishgovardhandamodar/qiskit-machine-learning
Quantum Machine Learning
harishgovardhandamodar/tgn
TGN: Temporal Graph Networks
harishgovardhandamodar/Narcissus-backdoor-attack
The official implementation of Narcissus clean-label backdoor attack -- only takes THREE images to poison a face recognition dataset in a clean-label way and achieves a 99.89% attack success rate.
harishgovardhandamodar/graph-information-bottleneck-for-Subgraph-Recognition
harishgovardhandamodar/Knowledge-Enriched-DMI
harishgovardhandamodar/CodeSumEvaluation
Replication package for ICSE2022 paper: On the Evaluation of Neural Code Summarization
harishgovardhandamodar/the-gan-zoo
A list of all named GANs!