
SLDR
Defense framework that mitigates malicious fine-tuning of LLMs using selective layer recovery and dynamic routing, with training, harmfulness…

Defense framework that mitigates malicious fine-tuning of LLMs using selective layer recovery and dynamic routing, with training, harmfulness…

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

Composable research-contract and YAML-recipe framework for agent-operated security experiments on disposable compute

Evolutionary LLM jailbreak and guardrail framework that grows a reusable strategy pool via genetic mutation, Markov selection, and online adversarial…

Defense framework that keeps audio-language models frozen and adds a mid-layer risk gate with late-layer safety adapters to block audio jailbreaks at…

Black-box input-stage purification defense that neutralizes backdoor attacks on object detectors via corruption, diffusion reconstruction, and DBSCAN…

Defensive framework that maintains a safety-focused shadow memory to detect and block prompt-injection and long-horizon threats against LLM agents…

Defense framework enforcing routed origin policy to prevent indirect prompt injection in tool-using LLM agents, with deterministic origin checks and…

An Evaluation Agent for Detecting Misinformation and Knowledge Poisoning in Retrieval-Augmented Generation Systems.

Structured guide to threat hunting using Zeek logs, aligned with MITRE ATT&CK framework for proactive detection of adversary tactics and techniques.

OWASP Ontology-driven Threat Modelling framework

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

Jepsen-based transactional correctness testing framework for DuckDB, detecting isolation anomalies like G2-item and SSI violations via randomized…

PowerShell Obfuscation Detection Framework