
SecML
A Python library for Secure and Explainable Machine Learning Documentation available @ https://secml.gitlab.io Follow us on Twitter @…

A Python library for Secure and Explainable Machine Learning Documentation available @ https://secml.gitlab.io Follow us on Twitter @…

Benchmark for evaluating AI agent safety against attacks embedded in skill-facing context, with 155 cases across 6 risk domains, measuring task…

A high-severity prompt injection flaw in Claude AI proves that even the smartest language models can be turned into weapons — all with a few lines of…

PoC repository for the blog post CopyEscape: Taking Over Docker Hosts with docker cp

Benchmarking prompt injection detections for web agents.

StealthRL: RL framework for adversarially paraphrasing AI text to stress-test detector robustness.

PoC MSI payload based on ASEC/AhnLab's blog post

Framework for auditing machine learning algorithms against adversarial attacks and biases, providing educational tools and an academic paper to…

Security research on context compaction in coding agents: shows how forged role labels in untrusted content survive summarization and get executed,…

CEREBRO-RED v2: Advanced LLM Red Team Research Platform with PAIR Algorithm and LLM-as-a-Judge Evaluation

CVPR2023: Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples

Attack framework for breaking fine-tuning based prompt injection defenses (SecAlign, SecAlign++, StruQ) using architecture-aware adversarial attacks…

Fine-tuning framework that applies first-order optimal safety calibration and periodic recalibration to LLMs, preserving safety-compatible updates…

CVE-2026-54121 (Certighost) AD CS DC-impersonation PoC. Patched SAN handling + MAQ-safe account reuse.


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

Trajectory-aware evolutionary search framework for red-teaming LLM agents over MCP servers, generating adversarial prompts to map vulnerability…

Research pipeline that constructs verified successful experiences and organizes them into formation records to progressively poison model skills via…