activity
20132025
most citedFun-SAT: Functional Corruptibility-Guided SAT-Based Attack on Sequential Logic Encryption

32 citations · 92 across the 26 of their papers we have counts for

collaborators

27 papers

cs.DB2025

Systematic Evaluation of Knowledge Graph Repair with Large Language Models

Tung-Wei Lin, Gabe Fierro, Han Li +3

We present a systematic approach for evaluating the quality of knowledge graph repairs with respect to constraint violations defined in shapes constraint language (SHACL). Current…

cs.SE2023★ 1 cited

Correct-by-Construction Design of Contextual Robotic Missions Using Contracts

Piergiuseppe Mallozzi, Pierluigi Nuzzo, Nir Piterman +2

Effectively specifying and implementing robotic missions poses a set of challenges to software engineering for robotic systems. These challenges stem from the need to formalize and…

cs.CR2023★ 1 cited

Similarity-Based Logic Locking Against Machine Learning Attacks

Subhajit Dutta Chowdhury, Kaixin Yang, Pierluigi Nuzzo

Logic locking is a promising technique for protecting integrated circuit designs while outsourcing their fabrication. Recently, graph neural network (GNN)-based link prediction att…

cs.AI2023

Optimal Control of Logically Constrained Partially Observable and Multi-Agent Markov Decision Processes

Krishna C. Kalagarla, Dhruva Kartik, Dongming Shen +3

Autonomous systems often have logical constraints arising, for example, from safety, operational, or regulatory requirements. Such constraints can be expressed using temporal logic…

cs.CR2023★ 1 cited

Unraveling Latch Locking Using Machine Learning, Boolean Analysis, and ILP

Dake Chen, Xuan Zhou, Yinghua Hu +5

Logic locking has become a promising approach to provide hardware security in the face of a possibly insecure fabrication supply chain. While many techniques have focused on lockin…

cs.LG2023

Equivalent and Compact Representations of Neural Network Controllers With Decision Trees

Kevin Chang, Nathan Dahlin, Rahul Jain +1

Over the past decade, neural network (NN)-based controllers have demonstrated remarkable efficacy in a variety of decision-making tasks. However, their black-box nature and the ris…