Discover git-disl/Perception-Poisoning Open Source project

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Perception Poisoning Attacks in Federated Learning

awesome-LLM-game-agent-papers

A Survey on Large Language Model-Based Game Agents

202

PokeLLMon

Python

167

DataPoisoning_FL

Code for Data Poisoning Attacks Against Federated Learning Systems

Python

158

TOG

Real-time object detection is one of the key applications of deep neural networks (DNNs) for real-world mission-critical systems. While DNN-powered object detection systems celebrate many life-enriching opportunities, they also open doors for misuse and abuse. This project presents a suite of adversarial objectness gradient attacks, coined as TOG, which can cause the state-of-the-art deep object detection networks to suffer from untargeted random attacks or even targeted attacks with three types of specificity: (1) object-vanishing, (2) object-fabrication, and (3) object-mislabeling. Apart from tailoring an adversarial perturbation for each input image, we further demonstrate TOG as a universal attack, which trains a single adversarial perturbation that can be generalized to effectively craft an unseen input with a negligible attack time cost. Also, we apply TOG as an adversarial patch attack, a form of physical attacks, showing its ability to optimize a visually confined patch filled with malicious patterns, deceiving well-trained object detectors to misbehave purposefully.

Jupyter Notebook

121

BERT4ETH

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

Python

GPTLens

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

Solidity

EllipticPlusPlus

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

Jupyter Notebook

CPL_attack

Jupyter Notebook

awesome_LLM-harmful-fine-tuning-papers

A survey on harmful fine-tuning issue for large language model

scale-fl

Code for ScaleFL

Python

AdaTrace

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

Java

LRBench

A learning rate recommending and benchmarking tool.

Python

CLDP

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

FastSwap

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

Vaccine

This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)

Shell

EnsembleBench

A holistic framework for promoting high diversity ensemble learning.

Python

XMemPod

A disaggregated memory orchestration system that virtualizes cluster wide memory to scale data intensive, large memory workloads in virtualized clouds

Batchfile

Fed-CDP

Gradient-Leakage Resilient Federated Learning

Python

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.

Python

Lockdown

A backdoor defense for federated learning via isolated subspace training (NeurIPS2023)

Python

EENet

Code for Adaptive Deep Neural Network Inference Optimization with EENet

Python

GTDLBench

Benchmarking Deep Learning Frameworks

Python

EMO

Efficient Multi-Object Tracking for Edge devices

Python

DP-Ensemble

Diversity Optimized Ensemble

Python

STDLens

Lisa

This is the official code for the paper "Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning" (NeurIPS2024)

Python

DP_modelpublishing

Python

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.

Python

EVA

Fast Edge Video Analytics

C++

ZipZap

Python

Booster

This is the official code for the paper "Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation".

Shell

DLForecast

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

Python

HQ-Ensemble

Hierarchical Ensemble Pruning

Python

Valet

Efficient Orchestration of Host and Remote Shared Memory for Memory Intensive Workloads

HeteRobust

Python

recap

Code for CVPR24 Paper - Resource-Efficient Transformer Pruning for Finetuning of Large Models

Python

MSJE

MSJE Pytorch implementation

Python

membership_vulnerability

Python

GTModelZoo

HTML

ModelCloak

Code for ICDM 2023 Model Cloaking against Gradient Leakage

Jupyter Notebook

MD-CNN

Network Code for Multi-Dimension Convolutional Neural Network for Bug Localization

Python

GRING-App-Face_Exp_recog

G-RING application : Face Expression Recognition Federated Learning

FUSE

Robust Object Detection Fusion Against Deception

Python

GRING-App-Disease_Classification

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

PFT

Python

XEnsemble-1.0

Code for the XEnsemble Robust Deep Learnning project

Python

gt-mobisim

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

Java

LRBenchPlusPlus

Jupyter Notebook

GRING

TripleBit

TripleBit, a fast and compact system for large scale RDF graph. This is a mirror of https://github.com/CGCL-codes/TripeBit.

C++

SEJE

SEJE Pytorch implementation

Python

llm-topla

Jupyter Notebook

git-disl/Perception-Poisoning

git-disl

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