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

119 citations · 465 across the 38 of their papers we have counts for

collaborators

48 papers

cs.PL2023

PEak: A Single Source of Truth for Hardware Design and Verification

Caleb Donovick, Ross Daly, Jackson Melchert +4

Domain-specific languages for hardware can significantly enhance designer productivity, but sometimes at the cost of ease of verification. On the other hand, ISA specification lang…

cs.LO2023★ 1 cited

Combining Finite Combination Properties: Finite Models and Busy Beavers

Guilherme Toledo, Yoni Zohar, Clark Barrett

This work is a part of an ongoing effort to understand the relationships between properties used in theory combination. We here focus on including two properties that are related t…

cs.DC2023

Partitioning Strategies for Distributed SMT Solving

Amalee Wilson, Andres Noetzli, Andrew Reynolds +3

For many users of Satisfiability Modulo Theories (SMT) solvers, the solver's performance is the main bottleneck in their application. One promising approach for improving performan…

cs.LO2023★ 1 cited

Combining Combination Properties: An Analysis of Stable Infiniteness, Convexity, and Politeness

Guilherme Vicentin de Toledo, Yoni Zohar, Clark Barrett

We make two contributions to the study of theory combination in satisfiability modulo theories. The first is a table of examples for the combinations of the most common model-theor…

cs.LO2023

DNN Verification, Reachability, and the Exponential Function Problem

Omri Isac, Yoni Zohar, Clark Barrett +1

Deep neural networks (DNNs) are increasingly being deployed to perform safety-critical tasks. The opacity of DNNs, which prevents humans from reasoning about them, presents new saf…

cs.LO2022★ 1 cited

Proof-Stitch: Proof Combination for Divide and Conquer SAT Solvers

Abhishek Nair, Saranyu Chattopadhyay, Haoze Wu +2

With the increasing availability of parallel computing power, there is a growing focus on parallelizing algorithms for important automated reasoning problems such as Boolean satisf…

cs.LO2022

Reasoning About Vectors using an SMT Theory of Sequences

Ying Sheng, Andres Nötzli, Andrew Reynolds +7

Dynamic arrays, also referred to as vectors, are fundamental data structures used in many programs. Modeling their semantics efficiently is crucial when reasoning about such progra…

cs.AI2022★ 10 cited

Scalable Verification of GNN-based Job Schedulers

Haoze Wu, Clark Barrett, Mahmood Sharif +2

Recently, Graph Neural Networks (GNNs) have been applied for scheduling jobs over clusters, achieving better performance than hand-crafted heuristics. Despite their impressive perf…

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★ 5 cited

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…

cs.LG2021

DeepCert: Verification of Contextually Relevant Robustness for Neural Network Image Classifiers

Colin Paterson, Haoze Wu, John Grese +3

We introduce DeepCert, a tool-supported method for verifying the robustness of deep neural network (DNN) image classifiers to contextually relevant perturbations such as blur, haze…

cs.LO2021★ 5 cited

Counterexample-Guided Prophecy for Model Checking Modulo the Theory of Arrays

Makai Mann, Ahmed Irfan, Alberto Griggio +2

We develop a framework for model checking infinite-state systems by automatically augmenting them with auxiliary variables, enabling quantifier-free induction proofs for systems th…

cs.LG2020★ 1 cited

An SMT-Based Approach for Verifying Binarized Neural Networks

Guy Amir, Haoze Wu, Clark Barrett +1

Deep learning has emerged as an effective approach for creating modern software systems, with neural networks often surpassing hand-crafted systems. Unfortunately, neural networks…

cs.LG2020

Global Optimization of Objective Functions Represented by ReLU Networks

Christopher A. Strong, Haoze Wu, Aleksandar Zeljić +4

Neural networks can learn complex, non-convex functions, and it is challenging to guarantee their correct behavior in safety-critical contexts. Many approaches exist to find failur…

cs.LO2020

Smt-Switch: a solver-agnostic C++ API for SMT Solving

Makai Mann, Amalee Wilson, Cesare Tinelli +1

This extended abstract describes work in progress on Smt-Switch, an open-source, solver-agnostic API for SMT solving. Smt-Switch provides an abstract interface, which can be implem…

cs.SE2020

fault: A Python Embedded Domain-Specific Language For Metaprogramming Portable Hardware Verification Components

Lenny Truong, Steven Herbst, Rajsekhar Setaluri +8

While hardware generators have drastically improved design productivity, they have introduced new challenges for the task of verification. To effectively cover the functionality of…

cs.LO2020★ 4 cited

A Theoretical Framework for Symbolic Quick Error Detection

Florian Lonsing, Subhasish Mitra, Clark Barrett

Symbolic quick error detection (SQED) is a formal pre-silicon verification technique targeted at processor designs. It leverages bounded model checking (BMC) to check a design for…

cs.LO2020

Politeness for the Theory of Algebraic Datatypes

Ying Sheng, Yoni Zohar, Christophe Ringeissen +3

Algebraic datatypes, and among them lists and trees, have attracted a lot of interest in automated reasoning and Satisfiability Modulo Theories (SMT). Since its latest stable versi…

cs.LO2020★ 25 cited

Parallelization Techniques for Verifying Neural Networks

Haoze Wu, Alex Ozdemir, Aleksandar Zeljić +7

Inspired by recent successes with parallel optimization techniques for solving Boolean satisfiability, we investigate a set of strategies and heuristics that aim to leverage parall…

cs.PL2020★ 6 cited

Resources: A Safe Language Abstraction for Money

Sam Blackshear, David L. Dill, Shaz Qadeer +4

Smart contracts are programs that implement potentially sophisticated transactions on modern blockchain platforms. In the rapidly evolving blockchain environment, smart contract pr…