Quantum Machine Learning: Security Threats & Lines Of Defense


New research paper from Pennsylvania State University explores quantum machine learning (QML) and its use in hardware security. Find the technical paper here. April 2022. Satwik Kundu and Swaroop Ghosh. 2022. Security Aspects of Quantum Machine Learning: Opportunities, Threats and Defenses (Invited). In Proceedings of the Great Lakes Symposium on VLSI 2022 (GLSVLSI ’22), June 6–8,... » read more

Verifying Side-Channel Security Pre-Silicon


As security grows in importance, side-channel attacks pose a unique challenge because they rely on physical phenomena that aren’t always modeled for the design verification process. While everything can be hacked, the goal is to make it so difficult that an attacker concludes it isn't worth the effort. For side-channel attacks, the pre-silicon design is the best place to address any known ... » read more

Scaling Anti-Tamper Protection To Meet Escalating Threats


Anti-tamper tends to be one of those catchall phrases encompassing any countermeasure on a security chip. A more precise definition would be that anti-tamper protection is any collection of countermeasures that serves to thwart an adversary’s attempt to monitor or affect the correct operation of a chip or a security core within a chip. Given that, it can be useful to think about a hierarchy o... » read more

FIAs Pose Tricky Security Attacks


Voltage and clock glitching are terms crowding into the emerging lexicon of chip security attacks. These are two popular methods adversaries use that can be categorized under the umbrella of fault injection attacks (FIAs). Micro-architectural vulnerabilities like Meltdown, Spectre, Foreshadow and Spoiler have been in the limelight for months. But now, FIAs are getting more attention as the indu... » read more