6 citations · 8 across the 3 of their papers we have counts for
5 papers
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…
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…
Efficacy of Satisfiability Based Attacks in the Presence of Circuit Reverse Engineering Errors
Qinhan Tan, Seetal Potluri, Aydin Aysu
Intellectual Property (IP) theft is a serious concern for the integrated circuit (IC) industry. To address this concern, logic locking countermeasure transforms a logic circuit to…
SeqL: Secure Scan-Locking for IP Protection
Seetal Potluri, Aydin Aysu, Akash Kumar
Existing logic-locking attacks are known to successfully decrypt functionally correct key of a locked combinational circuit. It is possible to extend these attacks to real-world Si…
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…