
Uncensored-AI
Fully automatic censorship removal for language models

Fully automatic censorship removal for language models

AutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning

A deep learning toolkit for log-based anomaly detection

An Open Harness and Benchmark for AI in Cybersecurity Operations.

A machine learning malware analysis framework for Android apps.

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

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

AMBER ICI v5: local-first Ollama investigative command center with case-scoped evidence, agent chains, hybrid retrieval, streaming analysis, graph…

DGA-generated domain detection using deep learning models

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

Research implementation for mitigating adaptive prompt injections via on-policy distillation, with training recipes and evaluators for SEP, PISmith,…

Causal context attribution and rule-based monitor LLM defense against indirect prompt injection in LLM agents, achieving state-of-art performance on…

Provably secure linguistic steganography embedding secret messages into LLM-generated text via rotation range-coding. Includes embed, extract, and…

A next-generation multi-echelon anti-ransomware fortress for Windows, combining hypervisor, eBPF, AI deception, and hardware-enforced security.

Research repository documenting LLM generalization ceilings in code security vulnerability detection, with cross-evaluation across synthetic and…

détection des attaques sql/xss sur API web avec IA

Code for ACL 2026 (main) paper "DeepGuard: Secure Code Generation via Multi-Layer Semantic Aggregation"
