activity
20192021
most citedReevaluating Adversarial Examples in Natural Language

96 citations · 209 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SE2021

A Novel Spatial-Temporal Specification-Based Monitoring System for Smart Cities

Meiyi Ma, Ezio Bartocci, Eli Lifland +2

With the development of the Internet of Things, millions of sensors are being deployed in cities to collect real-time data. This leads to a need for checking city states against ci…

cs.LG2020★ 43 cited

Predictive Monitoring with Logic-Calibrated Uncertainty for Cyber-Physical Systems

Meiyi Ma, John Stankovic, Ezio Bartocci +1

Predictive monitoring -- making predictions about future states and monitoring if the predicted states satisfy requirements -- offers a promising paradigm in supporting the decisio…

cs.CL2020★ 10 cited

Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples

Jin Yong Yoo, John X. Morris, Eli Lifland +1

We study the behavior of several black-box search algorithms used for generating adversarial examples for natural language processing (NLP) tasks. We perform a fine-grained analysi…

cs.CL2020★ 60 cited

TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP

John X. Morris, Eli Lifland, Jin Yong Yoo +3

While there has been substantial research using adversarial attacks to analyze NLP models, each attack is implemented in its own code repository. It remains challenging to develop…

cs.CL2020★ 96 cited

Reevaluating Adversarial Examples in Natural Language

John X. Morris, Eli Lifland, Jack Lanchantin +2

State-of-the-art attacks on NLP models lack a shared definition of a what constitutes a successful attack. We distill ideas from past work into a unified framework: a successful na…

cs.CY2019

SaSTL: Spatial Aggregation Signal Temporal Logic for Runtime Monitoring in Smart Cities

Meiyi Ma, Ezio Bartocci, Eli Lifland +2

We present SaSTL -- a novel Spatial Aggregation Signal Temporal Logic -- for the efficient runtime monitoring of safety and performance requirements in smart cities. We first descr…