
oss-fuzz-gen
LLM powered fuzzing via OSS-Fuzz.

LLM powered fuzzing via OSS-Fuzz.

Ensemble framework for software vulnerability detection and repair using multiple large language models, with consensus analysis and evaluation tools…

Implementation of paper "DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images"

Official code for the ISSTA 2026 paper: Is "Knowing It’s Malicious" Enough? Evaluating LLMs for Fine-Grained Malware Behavior Auditing

A diagnostic framework for measuring LLM vulnerability to Affective Contextual Erosion (ACE) and related liminal attack vectors. **Delirium** is not…

AI Smart Contract Security Analysis and PoC Generation Framework

The code of VulTriage: Triple-Path Context Augmentation for LLM-Based Vulnerability Detection

VulnAgent-X: A Layered Agentic Framework for Repository-Level Vulnerability Detection

A LSTM based framework for handling multiclass imbalance in DGA botnet detection

Framework for implementing Network Intrusion Detection Systems (NIDS) aimed at identifying anomalies in network flows using Federated Learning models.

Automated behavioral evaluation framework for LLMs that generates diverse test scenarios to probe for sycophancy, bias, and other safety-relevant…

An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports…

An implementation of the FAIR CRQ Framework

The ultimate steganography and digital forensics toolkit. Hide and extract data across images, audio, video, documents, and network packets, or run…

Evaluation framework that tests whether large language models follow invisible Unicode-encoded instructions embedded in normal-looking text, with…

An ML powered Graph-Based Multi-Architecture Approach for ROP Gadget Detection

C-based Android static analysis framework for decompilation, secret detection, endpoint discovery, permission analysis, and native library scanning…