activity
20152023
most citedTowards Proving the Adversarial Robustness of Deep Neural Networks

119 citations · 163 across the 19 of their papers we have counts for

collaborators
Showing 2021Show all

8 papers · 1 filter

cs.FL2021

Automating System Configuration

Nestan Tsiskaridze, Maxwell Strange, Makai Mann +4

The increasing complexity of modern configurable systems makes it critical to improve the level of automation in the process of system configuration. Such automation can also impro…

cs.LO2021

Scaling Up Hardware Accelerator Verification using A-QED with Functional Decomposition

Saranyu Chattopadhyay, Florian Lonsing, Luca Piccolboni +12

Hardware accelerators (HAs) are essential building blocks for fast and energy-efficient computing systems. Accelerator Quick Error Detection (A-QED) is a recent formal technique wh…

cs.AR2021

Effective Pre-Silicon Verification of Processor Cores by Breaking the Bounds of Symbolic Quick Error Detection

Karthik Ganesan, Florian Lonsing, Srinivasa Shashank Nuthakki +6

We present a novel approach to pre-silicon verification of processor designs. The purpose of pre-silicon verification is to find logic bugs in a design at an early stage and thus a…

cs.LO2021

lazybvtoint at the SMT Competition 2020

Yoni Zohar, Ahmed Irfan, Makai Mann +3

lazybvtoint is a new prototype SMT-solver, that will participate in the incremental and non-incremental tracks of the \qfbv logic.

cs.AR2021

Automated Design Space Exploration of CGRA Processing Element Architectures using Frequent Subgraph Analysis

Jackson Melchert, Kathleen Feng, Caleb Donovick +5

The architecture of a coarse-grained reconfigurable array (CGRA) processing element (PE) has a significant effect on the performance and energy efficiency of an application running…

cs.LO2021

Politeness and Stable Infiniteness: Stronger Together

Ying Sheng, Yoni Zohar, Christophe Ringeissen +3

We make two contributions to the study of polite combination in satisfiability modulo theories. The first contribution is a separation between politeness and strong politeness, by…