219 citations · 232 across the 6 of their papers we have counts for
7 papers
MemFHE: End-to-End Computing with Fully Homomorphic Encryption in Memory
Saransh Gupta, Rosario Cammarota, Tajana Rosing
The increasing amount of data and the growing complexity of problems has resulted in an ever-growing reliance on cloud computing. However, many applications, most notably in health…
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks
Anuj Dubey, Rosario Cammarota, Vikram Suresh +1
Machine learning (ML) models can be trade secrets due to their development cost. Hence, they need protection against malicious forms of reverse engineering (e.g., in IP piracy). Wi…
Trustworthy AI Inference Systems: An Industry Research View
Rosario Cammarota, Matthias Schunter, Anand Rajan +26
In this work, we provide an industry research view for approaching the design, deployment, and operation of trustworthy Artificial Intelligence (AI) inference systems. Such systems…
BoMaNet: Boolean Masking of an Entire Neural Network
Anuj Dubey, Rosario Cammarota, Aydin Aysu
Recent work on stealing machine learning (ML) models from inference engines with physical side-channel attacks warrant an urgent need for effective side-channel defenses. This work…
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims
Miles Brundage, Shahar Avin, Jasmine Wang +56
With the recent wave of progress in artificial intelligence (AI) has come a growing awareness of the large-scale impacts of AI systems, and recognition that existing regulations an…
MaskedNet: The First Hardware Inference Engine Aiming Power Side-Channel Protection
Anuj Dubey, Rosario Cammarota, Aydin Aysu
Differential Power Analysis (DPA) has been an active area of research for the past two decades to study the attacks for extracting secret information from cryptographic implementat…