
nCPU
Research runtime for differentiable neural computers, GPU-based CPU emulation, and program synthesis. Features neural ALU, constant-time crypto, JEPA…

Research runtime for differentiable neural computers, GPU-based CPU emulation, and program synthesis. Features neural ALU, constant-time crypto, JEPA…

Stalk your Friends. Find their Instagram, FB and Twitter Profiles using Image Recognition and Reverse Image Search.


Interactive dashboards and libraries for responsible AI model debugging, covering error analysis, fairness, interpretability, counterfactuals, causal…

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in…

Curated list of backdoor learning papers, surveys, and toolboxes, organizing poisoning-based attacks and defenses in deep learning for researchers…

A package for capturing and analyzing network flow data and intraflow data, for network research, forensics, and security monitoring.

Multi-engine framework for unpacking and analyzing VM-protected binaries using dynamic taint tracking, symbolic execution, pattern classification,…

An Open Harness and Benchmark for AI in Cybersecurity Operations.

Open-source threat intelligence platform for malware and observable analysis. Enriches IPs, domains, URLs, and hashes with external sources, performs…

Benchmark suite and code for detecting AI alignment failures, with 44 benchmarks across ten failure types and a zero-shot RLCD detector evaluated on…

A Python library for Secure and Explainable Machine Learning Documentation available @ https://secml.gitlab.io Follow us on Twitter @…

AI-powered Windows diagnostic & auto-repair tool using Google Gemini. Detect crashes, optimize performance, scan for malware, and generate PowerShell…

Research implementation for mitigating adaptive prompt injections via on-policy distillation, with training recipes and evaluators for SEP, PISmith,…

Research code for detecting and detoxifying backdoors in text-to-image diffusion models, with pipelines for Stable Diffusion v1.4, v1.5, XL, and 3…

Research code for extracting and training safety-awareness directions in multimodal LLMs to improve refusal behavior while limiting benign-task drift.

This project (PoC for now, and part of Shit Bucket) involves face detection, face recognition and adversarial input to protect avatars

Autoencoder-based anomaly detection for identifying phishing domains using CERT Polska warning list data, with Jupyter notebooks for research and…