6 papers
PowerFuzz: Power-Based Black-Box Firmware Fuzzing
Dakshina Tharindu, Sahan Sanjaya, Philip Baptist +1
Fuzzing is widely used for software and hardware verification, offering an effective alternative to random testing. While gray-box fuzzers benefit from full visibility into the sys…
Controlled Steering-Based State Preparation for Adversarial-Robust Quantum Machine Learning
Sahan Sanjaya, Hari Krishna Parvatham, Emma Andrews +1
Quantum machine learning (QML) provides a promising framework for leveraging quantum-mechanical effects in learning tasks. However, its vulnerability to adversarial perturbations r…
Defending Quantum Classifiers against Adversarial Perturbations through Quantum Autoencoders
Emma Andrews, Sahan Sanjaya, Prabhat Mishra
Machine learning models can learn from data samples to carry out various tasks efficiently. When data samples are adversarially manipulated, such as by insertion of carefully craft…
Sleep Reveals the Nonce: Breaking ECDSA using Sleep-Based Power Side-Channel Vulnerability
Sahan Sanjaya, Prabhat Mishra
Security of Elliptic Curve Digital Signature Algorithm (ECDSA) depends on the secrecy of the per-signature nonce. Even partial nonce leakage can expose the long-term private key th…
Application-Specific Power Side-Channel Attacks and Countermeasures: A Survey
Sahan Sanjaya, Aruna Jayasena, Prabhat Mishra
Side-channel attacks try to extract secret information from a system by analyzing different side-channel signatures, such as power consumption, electromagnetic emanation, thermal d…
SleepWalk: Exploiting Context Switching and Residual Power for Physical Side-Channel Attacks
Sahan Sanjaya, Aruna Jayasena, Prabhat Mishra
Context switching is utilized by operating systems to change the execution context between application programs. It involves saving and restoring the states of multiple registers a…