Felix Schuster

TL;DR: VC3 is the first system that allows users to run distributed MapReduce computations in the cloud while keeping their code and data secret, and ensuring the correctness and completeness of their results.

TL;DR: This work proposes data-oblivious machine learning algorithms for support vector machines, matrix factorization, neural networks, decision trees, and k-means clustering and shows that their efficient implementation based on Intel Skylake processors scales up to large, realistic datasets, with overheads several orders of magnitude lower than with previous approaches.

TL;DR: It is demonstrated that many of these defenses that do not consider object-oriented C++ semantics precisely can be generically bypassed in practice, and that even recently proposed defenses that specifically target C++ are vulnerable to COOP.

TL;DR: Cloak, a new technique that uses hardware transactional memory to prevent adversarial observation of cache misses on sensitive code and data, provides strong protection against all known cache-based side-channel attacks with low performance overhead.

TL;DR: This paper significantly improve and simplify the COOP attack, and presents a comprehensive code-reuse defense which is resilient against reuse of dynamically-bound functions and introduces two novel defense techniques: a practical technique to randomize the layout of tables containing code pointers resilient to memory disclosure and booby trap insertion to mitigate the threat of brute-force attacks iterating over the randomized tables.