activity
20192025
most citedOptimization and Abstraction: A Synergistic Approach for Analyzing Neural Network Robustness

84 citations · 90 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LO2025

Integer Reasoning Modulo Different Constants in SMT

Elizaveta Pertseva, Alex Ozdemir, Shankara Pailoor +4

This paper presents a new refutation procedure for multimodular systems of integer constraints that commonly arise when verifying cryptographic protocols. These systems, involving…

cs.PL2024★ 4 cited

From Batch to Stream: Automatic Generation of Online Algorithms

Ziteng Wang, Shankara Pailoor, Aaryan Prakash +2

Online streaming algorithms, tailored for continuous data processing, offer substantial benefits but are often more intricate to design than their offline counterparts. This paper…

cs.PL2022★ 2 cited

Type-Directed Synthesis of Visualizations from Natural Language Queries

Qiaochu Chen, Shankara Pailoor, Celeste Barnaby +4

We propose a new technique based on program synthesis for automatically generating visualizations from natural language queries. Our method parses the natural language query into a…

cs.OS2022

Finding and Analyzing Crash-Consistency Bugs in Persistent-Memory File Systems

Hayley LeBlanc, Shankara Pailoor, Isil Dillig +2

We present a study of crash-consistency bugs in persistent-memory (PM) file systems and analyze their implications for file-system design and testing crash consistency. We develop…

cs.PL2019★ 84 cited

Optimization and Abstraction: A Synergistic Approach for Analyzing Neural Network Robustness

Greg Anderson, Shankara Pailoor, Isil Dillig +1

In recent years, the notion of local robustness (or robustness for short) has emerged as a desirable property of deep neural networks. Intuitively, robustness means that small pert…