
OWASP-Top-10-AI-Infrastructure-Security-Risks
A practical framework identifying and prioritizing the top security risks in AI datacenter infrastructure, covering hardware, networking, management…

A practical framework identifying and prioritizing the top security risks in AI datacenter infrastructure, covering hardware, networking, management…

Automated SBOM-to-VEX pipeline using a secure multi-agent AI system to analyze CVEs, reason about exploitability, and generate signed CycloneDX VEX…

Silent dependency injection through AI documentation pipelines. 240 isolated Docker runs proving Context Hub's zero-sanitization MCP server lets…

A curated collection of resources for learning and researching LLM prompt injection attacks, defenses, and security.

Research pipeline for detecting latent indirect prompt-injection exposure signals in agentic LLMs via hidden-state probing, including trace…

Semantic Watermarking with Order-Robust Detection over Sub-sentence Units

Professional vulnerability assessment report for LiteLLM command injection risk, including executive summary, technical impact, remediation, and…

[ICCV 2025] Anti-Tamper Protection for Unauthorized Individual Image Generation

Research code for extracting and training safety-awareness directions in multimodal LLMs to improve refusal behavior while limiting benign-task drift.

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

Fish Live In Trees

Embed multiple secret messages in LLM chat token choices using arithmetic/Discop steganographic coders, with bit-exact decoding and steganalysis…

A novel adversarial attack on LLM based on the Exponentiated Gradient Descent technique.

Prohibited Items Segmentation via Occlusion-aware Bilayer Modeling (ICME 2025)

Sentinel detection lab for MCP attack chains: CVE-2026-26118 SSRF token theft, tool poisoning, cross-server exfiltration, identity post-exploitation.…

Research implementation of a poisoning attack against retrieval-augmented language models using camouflaged documents to evade filtering defenses and…

The most comprehensive LLM + MCP security guide i.e. OWASP aligned, real CVEs, actionable checklists

Detects LLM context-leakage attacks by training lightweight behavior probes on log-probabilities, with vLLM offline/server detection pipelines.