BrokenHill
bishopfox/brokenhillA productionized greedy coordinate gradient (GCG) attack tool for large language models (LLMs)
adversarial-attackai-securityexploitation+2
174
bishopfox/brokenhillA productionized greedy coordinate gradient (GCG) attack tool for large language models (LLMs)
user1342/droiddetectiveA machine learning malware analysis framework for Android apps.
yueliu1999/guardreasoner-vl[NeurIPS 2025] An official source code for paper "GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning".
mindcrypt/urideepUnicode encoding attacks with machine learning
lucamassarelli/yarasafeSAFE embeddings to match functions in yara
philarkwright/dga-detectionDGA Domain Detection using Bigram Frequency Analysis
j4fsec/in0riWebsite defacement attack detection with deep learning
nccgroup/ml-for-rngsDemonstrates using machine learning to predict random number generator sequences, highlighting cryptographic weaknesses through adversarial analysis.
cysecbench/datasetGenerative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models
bkcs-hust/lstm-miA LSTM based framework for handling multiclass imbalance in DGA botnet detection
josephtlucas/vgerAn interactive CLI application for interacting with authenticated Jupyter instances.
ait-aecid/rootkit-detection-ebpf-time-traceDetection of rootkit file hiding activities through analysis of shifts in kernel function execution times.
matthoffman/degasDGA-generated domain detection using deep learning models
alegrey91/vex8sSuppress vulnerabilities applying Kubernetes context to scans
zomry1/samuraizerNotebookLM on steroids — purpose-built for security researchers.
arpsyndicate/suricata-vedasVEDAS-Driven Autonomous Generation of Suricata Rules for CVEs
jiamingzhang94/unlearnable-clustersCVPR2023: Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples
c2dc/anomaly-flowFramework for implementing Network Intrusion Detection Systems (NIDS) aimed at identifying anomalies in network flows using Federated Learning models.