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Hardens binaries, Electron ASAR, JS, WASM, Python, and model files against AI reverse-engineering agents using decoy metadata, budget exhaustion, and…

Hardens binaries, Electron ASAR, JS, WASM, Python, and model files against AI reverse-engineering agents using decoy metadata, budget exhaustion, and…

SQLite relational data model for MITRE ATT&CK plus an adversary emulation planning tool, enriched with Red Canary ATOMIC tests and APT3 emulation…

A comprehensive guide to adversarial testing and security evaluation of AI systems, helping organizations identify vulnerabilities before attackers…

C++ tool using libtins to craft and broadcast DHCP requests with random MACs across an IP pool, exhausting DHCP leases to demonstrate DHCP starvation…

Research code, benchmark and defense for target rebinding attacks that trick LLM safety guards into grading forged decoy content, plus segment-max…

Research code for measuring jailbreak attack success rates (ASR and stepwise ASR) against LLMs, with implementations of attacks such as GCG and…

Research on persistent prompt injections via memory features in Claude, Gemini, and ChatGPT, with reproduction steps, datasets, and proofs for…

Jailbreak vulnerability across early-exit depths LLMs. Published at NeurIPS 2026 in the FLMSec workshop

Reproducible Colab pipeline that grounds six AI Security Literacy competency dimensions in public benchmarks and survey microdata, producing figures,…

Research artifact from USENIX Security 2026 demonstrating DDoS attacks by abusing tunnel nodes and IPv6 extension headers, with accompanying analysis…

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

GitLab Duo DevSecOps loop where a second AI re-attacks every AI-written fix, saving each successful bypass as a permanent antibody replayed in CI and…

Research implementation of the Black-Hole Attack that poisons vector database indexes via centrality-driven hubness, with FAISS pipelines and…

Jailbreaks,Prompt Leaks,Prompt Injection,LLM Attack.Large language model attack prompt collection

Red-teaming benchmark and black-box attack framework for evaluating visual misinformation risks in commercial image generators, with 10k false-claim…

Implementation of the paper "Rethinking Latency Denial-of-Service: Attack the LLM Serving Framework, Not the Model"

Token by Token, Compromised: Backdoor Vulnerabilities in Unified Autoregressive Models (NeurIPS'26)

Adversarial image attacks on vision-language web agents, from visual grounding to browser execution