Jack W. Stokes
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
33
Venues
13
Active years
2004–2026
Best venue rank
A*
Where they publish
Papers
33 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Apeiron: A Scalable LLM-agentic Framework for Autonomous Full-lifecycle Demand-optimized Application Synthesis. | Junyan Cheng, Ankit Srivastava, Jessie Zeng, Milenko Drinic, Jack W. Stokes |
| 2026 | EACL | Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based Optimizers. | Andrew Zhao, Reshmi Ghosh, Vitor Carvalho, Emily Lawton, Keegan Hines, Gao Huang, Jack W. Stokes |
| 2025 | AAAI | Heterogeneous Graph Neural Network on Semantic Tree. | Mingyu Guan, Jack W. Stokes, Qinlong Luo, Fuchen Liu, Purvanshi Mehta, Elnaz Nouri, Taesoo Kim |
| 2025 | EMNLP | Group Preference Alignment: Customizing LLM Responses from In-Situ Conversations Only When Needed. | Ishani Mondal, Jack W. Stokes, Sujay Kumar Jauhar, Longqi Yang, Mengting Wan, Xiaofeng Xu, Xia Song, Jordan Lee Boyd-Graber, Jennifer Neville |
| 2024 | ACL | Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models. | Ying-Chun Lin, Jennifer Neville, Jack W. Stokes, Longqi Yang, Tara Safavi, Mengting Wan, Scott Counts, Siddharth Suri, Reid Andersen, Xiaofeng Xu, Deepak Gupta, Sujay Kumar Jauhar, Xia Song, Georg Buscher, Saurabh Tiwary, Brent J. Hecht, Jaime Teevan |
| 2022 | DSN | Long-Term Study of Honeypots in a Public Cloud. | Rakshit Agrawal, Jack W. Stokes, Lukas Rist, Ryan Littlefield, Xun Fan, Ken Hollis, Zane Coppedge, Noah Chesterman, Christian Seifert |
| 2021 | ICASSP | Detection Of Malicious DNS and Web Servers using Graph-Based Approaches. | Jinyuan Jia, Zheng Dong, Jie Li, Jack W. Stokes |
| 2021 | MMSys | AMP: authentication of media via provenance. | Paul England, Henrique S. Malvar, Eric Horvitz, Jack W. Stokes, Cdric Fournet, Rebecca Burke-Aguero, Amaury Chamayou, Sylvan Clebsch, Manuel Costa, John Deutscher, Shabnam Erfani, Matt Gaylor, Andrew Jenks, Kevin Kane, Elissa M. Redmiles, Alex Shamis, Isha Sharma, John C. Simmons, Sam Wenker, Anika Zaman |
| 2021 | RAID | Living-Off-The-Land Command Detection Using Active Learning. | Talha Ongun, Jack W. Stokes, Jonathan Bar Or, Ke Tian, Farid Tajaddodianfar, Joshua Neil, Christian Seifert, Alina Oprea, John C. Platt |
| 2021 | RAID | Designing Media Provenance Indicators to Combat Fake Media. | Imani N. Sherman, Jack W. Stokes, Elissa M. Redmiles |
| 2020 | AAAI | Actor Critic Deep Reinforcement Learning for Neural Malware Control. | Yu Wang, Jack W. Stokes, Mady Marinescu |
| 2020 | ICASSP | Privacy-Preserving Phishing Web Page Classification Via Fully Homomorphic Encryption. | Edward J. Chou, Arun Gururajan, Kim Laine, Nitin Kumar Goel, Anna Bertiger, Jack W. Stokes |
| 2020 | ICASSP | Detection of Malicious Vbscript Using Static and Dynamic Analysis with Recurrent Deep Learning. | Jack W. Stokes, Rakshit Agrawal, Geoff McDonald |
| 2020 | ICASSP | Texception: A Character/Word-Level Deep Learning Model for Phishing URL Detection. | Farid Tajaddodianfar, Jack W. Stokes, Arun Gururajan |
| 2020 | NSDI | PrivateEye: Scalable and Privacy-Preserving Compromise Detection in the Cloud. | Behnaz Arzani, Selim Ciraci, Stefan Saroiu, Alec Wolman, Jack W. Stokes, Geoff Outhred, Lechao Diwu |
| 2019 | ICASSP | Attention in Recurrent Neural Networks for Ransomware Detection. | Rakshit Agrawal, Jack W. Stokes, Karthik Selvaraj, Mady Marinescu |
| 2019 | ICASSP | Detecting Cyber Attacks Using Anomaly Detection with Explanations and Expert Feedback. | Md Amran Siddiqui, Jack W. Stokes, Christian Seifert, Evan Argyle, Robert McCann, Joshua Neil, Justin Carroll |
| 2018 | ICASSP | Neural Sequential Malware Detection with Parameters. | Rakshit Agrawal, Jack W. Stokes, Mady Marinescu, Karthik Selvaraj |
| 2017 | ICASSP | Malware classification with LSTM and GRU language models and a character-level CNN. | Ben Athiwaratkun, Jack W. Stokes |
| 2016 | DIMVA | MtNet: A Multi-Task Neural Network for Dynamic Malware Classification. | Wenyi Huang, Jack W. Stokes |
| 2016 | ICASSP | Asking for a second opinion: Re-querying of noisy multi-class labels. | Jack W. Stokes, Ashish Kapoor, Debajyoti Ray |
| 2015 | ICASSP | Malware classification with recurrent networks. | Razvan Pascanu, Jack W. Stokes, Hermineh Sanossian, Mady Marinescu, Anil Thomas |
| 2013 | DSN | Detecting malicious landing pages in Malware Distribution Networks. | Gang Wang, Jack W. Stokes, Cormac Herley, David Felstead |
| 2013 | ICASSP | Large-scale malware classification using random projections and neural networks. | George E. Dahl, Jack W. Stokes, Li Deng, Dong Yu |
| 2013 | ICASSP | Robust scareware image detection. | Christian Seifert, Jack W. Stokes, Christina Colcernian, John C. Platt, Long Lu |
| 2012 | DIMVA | Using File Relationships in Malware Classification. | Nikos Karampatziakis, Jack W. Stokes, Anil Thomas, Mady Marinescu |
| 2012 | ESORICS | Scalable Telemetry Classification for Automated Malware Detection. | Jack W. Stokes, John C. Platt, Helen J. Wang, Joe Faulhaber, Jonathan Keller, Mady Marinescu, Anil Thomas, Marius Gheorghescu |
| 2011 | WWW | ARROW: GenerAting SignatuRes to Detect DRive-By DOWnloads. | Junjie Zhang, Christian Seifert, Jack W. Stokes, Wenke Lee |
| 2008 | ICASSP | Nonlinear residual acoustic echo suppression for high levels of harmonic distortion. | Diego A. Bendersky, Jack W. Stokes, Henrique S. Malvar |
| 2008 | OSDI | Finding Similar Failures Using Callstack Similarity. | Kevin Bartz, Jack W. Stokes, John C. Platt, Ryan Kivett, David Grant, Silviu Calinoiu, Gretchen Loihle |
| 2008 | WWW | Classification of Automated Search Traffic. | Gregory Buehrer, Jack W. Stokes, Kumar Chellapilla, John C. Platt |
| 2006 | ICASSP | Robust Rls with Round Robin Regularization Including Application to Stereo Acoustic Echo Cancellation. | Jack W. Stokes, John C. Platt |
| 2004 | ICASSP | Acoustic echo cancellation with arbitrary playback sampling rate. | Jack W. Stokes, Henrique S. Malvar |