#1ML-based security tools, adversarial machine learning, and AI-powered cyber defense.
Kitploit recommended
hydradragonantivirus/hydradragonav-mobileAndroid Antivirus which doesn't require root, adb, ca install and cloud with many features and ways to detect more zero-day malware
nirvanaon/antive-behaviorwatchEmbedded GRU neural network for real-time human behavior verification via mouse movement analysis, detecting automated analysis systems, sandboxes,…
krxi/asmsenseSmall language model that names and describes functions in stripped x86-64 binaries, with an open dataset, baselines, and LoRA fine-tuning…
zomry1/samuraizerNotebookLM on steroids — purpose-built for security researchers.
jev-sec/jev-idsBlazing-Fast Token-Efficient Intrusion Detection System (IDS) based on TypeSafe's Jev.
tracebyte8/systraceLinux system-call monitor using ptrace to trace file, process, network, and memory activity, with namespace isolation and machine learning…
guettaf-hossam/superdiagnostictoolAI-powered Windows diagnostic & auto-repair tool using Google Gemini. Detect crashes, optimize performance, scan for malware, and generate PowerShell…
norrrrrrr-lyn/wainjectbenchBenchmarking prompt injection detections for web agents.
thegamestopsnow/power-tracks-researchResearch related to the Power Tracks discovered in market microstructure.
telefonica/omlaspFramework for auditing machine learning algorithms against adversarial attacks and biases, providing educational tools and an academic paper to…
c0oki3s/veilgateAsymmetric defense against adversarial AI agents. VeilGate evaluates each incoming request, redirects suspected agents into a per-IP-consistent…
hoodoer/colonelclusteredA Java Burp Plugin that performs text clustering on responses to identify outliers/groups based on the actual content of the server responses, say…
pr0me/xtrideN-gram-based type recovery tool for binaries, recovering structures and function signatures from decompiled code with high throughput and actionable…
jiamingzhang94/unlearnable-clustersCVPR2023: Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples
zju-llm-safety/ascentFine-tuning framework that applies first-order optimal safety calibration and periodic recalibration to LLMs, preserving safety-compatible updates…
ryehr/rrc_steganographyProvably secure linguistic steganography embedding secret messages into LLM-generated text via rotation range-coding. Includes embed, extract, and…
c2dc/anomaly-flowFramework for implementing Network Intrusion Detection Systems (NIDS) aimed at identifying anomalies in network flows using Federated Learning models.
