37 citations · 133 across the 25 of their papers we have counts for
12 papers · 1 filter
Differential Analysis of Triggers and Benign Features for Black-Box DNN Backdoor Detection
Hao Fu, Prashanth Krishnamurthy, Siddharth Garg +1
This paper proposes a data-efficient detection method for deep neural networks against backdoor attacks under a black-box scenario. The proposed approach is motivated by the intuit…
Can deepfakes be created by novice users?
Pulak Mehta, Gauri Jagatap, Kevin Gallagher +5
Recent advancements in machine learning and computer vision have led to the proliferation of Deepfakes. As technology democratizes over time, there is an increasing fear that novic…
ALMOST: Adversarial Learning to Mitigate Oracle-less ML Attacks via Synthesis Tuning
Animesh Basak Chowdhury, Lilas Alrahis, Luca Collini +5
Oracle-less machine learning (ML) attacks have broken various logic locking schemes. Regular synthesis, which is tailored for area-power-delay optimization, yields netlists where k…
ASSURE: RTL Locking Against an Untrusted Foundry
Christian Pilato, Animesh Basak Chowdhury, Donatella Sciuto +2
Semiconductor design companies are integrating proprietary intellectual property (IP) blocks to build custom integrated circuits (IC) and fabricate them in a third-party foundry. U…
Outsourcing Private Machine Learning via Lightweight Secure Arithmetic Computation
Siddharth Garg, Zahra Ghodsi, Carmit Hazay +3
In several settings of practical interest, two parties seek to collaboratively perform inference on their private data using a public machine learning model. For instance, several…
TrojanZero: Switching Activity-Aware Design of Undetectable Hardware Trojans with Zero Power and Area Footprint
Imran Hafeez Abbassi, Faiq Khalid, Semeen Rehman +4
Conventional Hardware Trojan (HT) detection techniques are based on the validation of integrated circuits to determine changes in their functionality, and on non-invasive side-chan…