13 citations · 38 across the 12 of their papers we have counts for
14 papers
INFUSE: A Unified Surface Benchmark for Indirect Prompt Injection in Agentic Systems
Thuy Dung Nguyen, Jingyi Guo, Rana Seda Dubauskas +3
LLM-based agents increasingly execute long-horizon, end-to-end workflows involving shell commands, code modification, dependency installation, and interaction with remote services.…
On Evaluation of Document Classification using RVL-CDIP
Stefan Larson, Gordon Lim, Kevin Leach
The RVL-CDIP benchmark is widely used for measuring performance on the task of document classification. Despite its widespread use, we reveal several undesirable characteristics of…
Revisiting Lightweight Compiler Provenance Recovery on ARM Binaries
Jason Kim, Daniel Genkin, Kevin Leach
A binary's behavior is greatly influenced by how the compiler builds its source code. Although most compiler configuration details are abstracted away during compilation, recoverin…
Revisiting Deep Learning for Variable Type Recovery
Kevin Cao, Kevin Leach
Compiled binary executables are often the only available artifact in reverse engineering, malware analysis, and software systems maintenance. Unfortunately, the lack of semantic in…
Augmenting Task-Oriented Dialogue Systems with Relation Extraction
Andrew Lee, Zhenguo Chen, Kevin Leach +1
The standard task-oriented dialogue pipeline uses intent classification and slot-filling to interpret user utterances. While this approach can handle a wide range of queries, it do…
Evaluating Out-of-Distribution Performance on Document Image Classifiers
Stefan Larson, Gordon Lim, Yutong Ai +2
The ability of a document classifier to handle inputs that are drawn from a distribution different from the training distribution is crucial for robust deployment and generalizabil…
Pre-Training Representations of Binary Code Using Contrastive Learning
Yifan Zhang, Chen Huang, Yueke Zhang +3
Binary code analysis and comprehension is critical to applications in reverse engineering and computer security tasks where source code is not available. Unfortunately, unlike sour…
K-ASTRO: Structure-Aware Adaptation of LLMs for Code Vulnerability Detection
Yifan Zhang, Michael Sandborn, Stefan Larson +2
Large Language Models (LLMs) are transforming software engineering tasks, including code vulnerability detection-a critical area of software security. However, existing methods oft…
A Survey of Intent Classification and Slot-Filling Datasets for Task-Oriented Dialog
Stefan Larson, Kevin Leach
Interest in dialog systems has grown substantially in the past decade. By extension, so too has interest in developing and improving intent classification and slot-filling models,…
Redwood: Using Collision Detection to Grow a Large-Scale Intent Classification Dataset
Stefan Larson, Kevin Leach
Dialog systems must be capable of incorporating new skills via updates over time in order to reflect new use cases or deployment scenarios. Similarly, developers of such ML-driven…
One Agent To Rule Them All: Towards Multi-agent Conversational AI
Christopher Clarke, Joseph Joshua Peper, Karthik Krishnamurthy +6
The increasing volume of commercially available conversational agents (CAs) on the market has resulted in users being burdened with learning and adopting multiple agents to accompl…
MIMOSA: Reducing Malware Analysis Overhead with Coverings
Mohsen Ahmadi, Kevin Leach, Ryan Dougherty +2
There is a growing body of malware samples that evade automated analysis and detection tools. Malware may measure fingerprints ("artifacts") of the underlying analysis tool or envi…
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction
Stefan Larson, Anish Mahendran, Joseph J. Peper +8
Task-oriented dialog systems need to know when a query falls outside their range of supported intents, but current text classification corpora only define label sets that cover eve…
The State and Future of Genetic Improvement
William B. Langdon, Westley Weimer, Christopher Timperley +9
We report the discussion session at the sixth international Genetic Improvement workshop, GI-2019 @ ICSE, which was held as part of the 41st ACM/IEEE International Conference on So…