Pinned Repositories
awesome-LLM-game-agent-papers
A Survey on Large Language Model-Based Game Agents
awesome_LLM-harmful-fine-tuning-papers
A survey on harmful fine-tuning attack for large language model
BERT4ETH
BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection (WWW23)
DataPoisoning_FL
Code for Data Poisoning Attacks Against Federated Learning Systems
EllipticPlusPlus
Elliptic++ Dataset: A Graph Network of Bitcoin Blockchain Transactions and Wallet Addresses
GPTLens
Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives (TPS23)
PokeLLMon
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.
Vaccine
This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)
Virus
This is the official code for the paper "Virus: Harmful Fine-tuning Attack for Large Language Models Bypassing Guardrail Moderation"
git-disl's Repositories
git-disl/DataPoisoning_FL
Code for Data Poisoning Attacks Against Federated Learning Systems
git-disl/CPL_attack
git-disl/AdaTrace
Utility-aware synthesis of differentially private and attack-resilient location traces
git-disl/CLDP
Secure and utility-aware data collection with condensed local differential privacy
git-disl/FastSwap
Dynamic and Transparent Memory Sharing for Accelerating Big Data Analytics Workloads in Virtualized Cloud
git-disl/XMemPod
A disaggregated memory orchestration system that virtualizes cluster wide memory to scale data intensive, large memory workloads in virtualized clouds
git-disl/DP-Ensemble
Diversity Optimized Ensemble
git-disl/EVA
Fast Edge Video Analytics
git-disl/DP_modelpublishing
git-disl/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.
git-disl/Perception-Poisoning
Perception Poisoning Attacks in Federated Learning
git-disl/DLForecast
Graph mining of the bitcoin transaction data for tasks such as transaction prediction.
git-disl/HQ-Ensemble
Hierarchical Ensemble Pruning
git-disl/Valet
Efficient Orchestration of Host and Remote Shared Memory for Memory Intensive Workloads
git-disl/GTModelZoo
git-disl/MSJE
MSJE Pytorch implementation
git-disl/DeepRest
Deep Learning for API-aware Resource Estimation
git-disl/FUSE
Robust Object Detection Fusion Against Deception
git-disl/gt-mobisim
Simulator for generating mobility traces and query traces for large numbers of mobile agents moving in a road network.
git-disl/MD-CNN
Network Code for Multi-Dimension Convolutional Neural Network for Bug Localization
git-disl/PathGraph
PathGraph, a path-centric graph processing system for fast iterative computation on large graphs with billions of edges. This is a mirror of https://github.com/CGCL-codes/PathGraph.
git-disl/SEJE
SEJE Pytorch implementation
git-disl/TripleBit
TripleBit, a fast and compact system for large scale RDF graph. This is a mirror of https://github.com/CGCL-codes/TripeBit.
git-disl/XEnsemble-1.0
Code for the XEnsemble Robust Deep Learnning project
git-disl/JEModelZoo
git-disl/RDMAbox
git-disl/CNetMem
git-disl/GTMobisim-Visualizer
git-disl/project_template
This repository maintains the project templates for DiSL projects.
git-disl/website_template
This repository maintains the website templates for DiSL projects.