
SyntheticSun
Serverless AWS security automation framework that ingests threat intelligence, applies ML-based anomaly detection (RCF, IP Insights), and enriches…

Serverless AWS security automation framework that ingests threat intelligence, applies ML-based anomaly detection (RCF, IP Insights), and enriches…

Training-free anomaly detection framework using Shannon Entropy, Fisher Information, and Wasserstein Distance to map system states into geometrically…

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

End-to-end Python framework for time series intelligence, offering anomaly detection, forecasting, change point detection, AutoML, ensembles, and…

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

Open-source email filtering framework that detects spam and phishing using content analysis, header checks, Bayesian scoring, and DNS blocklists.

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

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

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

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…

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

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