tl;dr: Our publicly available Semgrep ruleset now has 11 rules dedicated to the misuse of machine learning libraries. Try it out now! Picture this: You’ve spent months curating images, trying out different architectures, downloading pretrained models, messing with Kubernetes, and you’re finally ready to ship your sparkling new machine learning (ML) product. […]
Originally published August 3, 2021 During my Trail of Bits winternship and springternship, I had the pleasure of working with Suha Hussain and Jim Miller on PrivacyRaven, a Python-based tool for testing deep-learning frameworks against a plethora of privacy attacks. I worked on improving PrivacyRaven’s versatility by adding compatibility for services […]
Many machine learning (ML) models are Python pickle files under the hood, and it makes sense. The use of pickling conserves memory, enables start-and-stop model training, and makes trained models portable (and, thereby, shareable). Pickling is easy to implement, is built into Python without requiring additional dependencies, and supports serialization of custom […]
Trail of Bits has manually curated a wealth of data—years of security assessment reports—and now we’re exploring how to use this data to make the smart contract auditing process more efficient with Slither-simil. Based on accumulated knowledge embedded in previous audits, we set out to detect similar vulnerable code snippets […]
If you work on deep learning systems, check out our new tool, PrivacyRaven—it’s a Python library that equips engineers and researchers with a comprehensive testing suite for simulating privacy attacks on deep learning systems. Because deep learning enables software to perform tasks without explicit programming, it’s become ubiquitous in […]
During my internship this summer, I built a multi-party computation (MPC) tool that implements a 3-party computation protocol for perceptron and support vector machine (SVM) algorithms. MPC enables multiple parties to perform analyses on private datasets without sharing them with each other. I defveloped a technique that lets three parties obtain the results of machine […]
