anomaly-flow
c2dc/anomaly-flowFramework for implementing Network Intrusion Detection Systems (NIDS) aimed at identifying anomalies in network flows using Federated Learning models.
anomaly-detectioneducationintrusion-detection+3
13
c2dc/anomaly-flowFramework for implementing Network Intrusion Detection Systems (NIDS) aimed at identifying anomalies in network flows using Federated Learning models.
zhengxr930/malevalOfficial code for the ISSTA 2026 paper: Is "Knowing It’s Malicious" Enough? Evaluating LLMs for Fine-Grained Malware Behavior Auditing
giovannigatti/cve-benchA benchmark for evaluating AI agents on fixing real-world security vulnerabilities.
wang-yanting/agentwatcherCausal context attribution and rule-based monitor LLM defense against indirect prompt injection in LLM agents, achieving state-of-art performance on…
hannahxchen/llm-censorship-steeringCode for 'Steering the CensorShip: Uncovering Representation Vectors for LLM "Thought" Control'
davidc1212/crawRobust audio watermarking framework embedding binary messages into magnitude spectrograms, with differentiable attack simulation, Q-Former pooling,…
mdshoaibuddinchanda/zombieguardML-based detection of Zombie ZIP archive header evasion attacks (CVE-2026-0866)
lightless-labs/third-thoughtsResearch toolkit for analyzing AI agent behavioral patterns through multi-disciplinary corpus analysis. Parses session logs, runs 23 analytical…
96kihyun/batch_jailbreakThis repository contains the official implementation of the paper "[Safety in Batches? Understanding and Mitigating Safety Failures in Batch…
devinblack001/ddos-reduction-systemAdaptive two-stage Layer 4 DDoS mitigation gateway using behavioral traffic analysis, Random Forest classification, and kernel-level ipset/iptables…
cucu220123/safety-awarenessResearch code for extracting and training safety-awareness directions in multimodal LLMs to improve refusal behavior while limiting benign-task drift.
tbrockman/recipe-blog-encodingHide valuable information where it's least expected
chaos-boops/clpstnetCLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning
sbamit/exponentiated-gradient-descent-llm-attackA novel adversarial attack on LLM based on the Exponentiated Gradient Descent technique.
ml-security-research-lab/cachetrapResearch code for a gray-box trojan attack that flips a single KV-cache bit in fine-tuned LLM classifiers and measures per-class attack success rate.
binzhwang/actguardPre-execution action-auditing defense that detects and masks indirect prompt injection in tool-using LLM agents using embedding retrieval and…
0x0allenace/soc-analyst-portfolioA curated portfolio showcasing my SOC investigations, threat hunting projects, DFIR labs, detection engineering, technical blogs, and cybersecurity…