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adatrace

Utility-aware synthesis of differentially private and attack-resilient location traces

awesome-llm-game-agent-papers

A Survey on Large Language Model-Based Game Agents

bert4eth

BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection (WWW23)

castformer

cldp

Secure and utility-aware data collection with condensed local differential privacy

cnetmem

cpl_attack

datapoisoning_fl

Code for Data Poisoning Attacks Against Federated Learning Systems

deeprest

Deep Learning for API-aware Resource Estimation

dledge

This project accelerates deep learning models on the edge with the support of running ensemble learning for performance improvement. The current version accelerates YOLO object detectors with Intel Neural Compute Stick 2 using parallel programming.

dlforecast

Graph mining of the bitcoin transaction data for tasks such as transaction prediction.

dp-ensemble

Diversity Optimized Ensemble

dp_modelpublishing

edi

eenet

Code for Adaptive Deep Neural Network Inference Optimization with EENet

ellipticplusplus

Elliptic++ Dataset: A Graph Network of Bitcoin Blockchain Transactions and Wallet Addresses

emo

Efficient Multi-Object Tracking for Edge devices

ensemblebench

A holistic framework for promoting high diversity ensemble learning.

eva

Fast Edge Video Analytics

fastswap

Dynamic and Transparent Memory Sharing for Accelerating Big Data Analytics Workloads in Virtualized Cloud

fed-alphacdp

This repo is for paper Securing Distributed SGD against Gradient Leakage Threats submitted to IEEE TPDS.

fed-cdp

Gradient-Leakage Resilient Federated Learning

fuse

Robust Object Detection Fusion Against Deception

gptlens

Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives (TPS23)

gptlens-demo

This demo provides a scenario-based walkthrough of how GPTLens utilizes LLMs to examine smart contract code and detect vulnerabilities.

gring

gring-app-disease_classification

G-RING application : Implementation of disease classification federated learning task on G-RING

gring-app-face_exp_recog

G-RING application : Face Expression Recognition Federated Learning

gt-mobisim

Simulator for generating mobility traces and query traces for large numbers of mobile agents moving in a road network.

gtattackpod

Deep neural networks (DNNs) have demonstrated impressive performance on many challenging machine learning tasks. However, DNNs are vulnerable to adversarial inputs generated by adding maliciously crafted perturbations to the benign inputs. As a growing number of attacks have been reported to generate adversarial inputs of varying sophistication, the defense-attack arms race has been accelerated. This project collects state-of-the-art attack algorithms and organizes them with a easy-to-use interface.