Performance analysis of DS/CDMA systems with shadowing and flat fading. - Jack W. Stokes; James A. Ritcey (Signal Process., 2001)

Acoustic echo cancellation with arbitrary playback sampling rate. - Jack W. Stokes; Henrique S. Malvar (ICASSP (4), 2004)

Robust Rls with Round Robin Regularization Including Application to Stereo Acoustic Echo Cancellation. - Jack W. Stokes; John C. Platt (ICASSP (3), 2006)

Acoustic Echo Cancelation for High Noise Environments. - Amit Chhetri; Jack W. Stokes; Dinei A. F. Florêncio (ICME, 2006)

Speaker Identification using a Microphone Array and a Joint HMM with Speech Spectrum and Angle of Arrival. - Jack W. Stokes; John C. Platt; Sumit Basu (ICME, 2006)

Normalized Double-Talk Detection Based on Microphone and AEC Error Cross-Correlation. - Asif Iqbal Mohammad; Jack W. Stokes; Steven L. Grant (ICME, 2007)

A large-scale study of automated web search traffic. - Gregory Buehrer; Jack W. Stokes; Kumar Chellapilla (AIRWeb, 2008)

Nonlinear residual acoustic echo suppression for high levels of harmonic distortion. - Diego A. Bendersky; Jack W. Stokes; Henrique S. Malvar (ICASSP, 2008)

Finding Similar Failures Using Callstack Similarity. - Kevin Bartz; Jack W. Stokes; John C. Platt; Ryan Kivett; David Grant; Silviu Calinoiu; Gretchen Loihle (SysML, 2008)

Classification of Automated Search Traffic. - Gregory Buehrer; Jack W. Stokes; Kumar Chellapilla; John C. Platt (Weaving Services and People on the World Wide Web, 2008)

WebCop: Locating Neighborhoods of Malware on the Web. - Jack W. Stokes; Reid Andersen; Christian Seifert; Kumar Chellapilla (LEET, 2010)

ARROW: GenerAting SignatuRes to Detect DRive-By DOWnloads. - Junjie Zhang 004; Christian Seifert; Jack W. Stokes; Wenke Lee (WWW, 2011)

Using File Relationships in Malware Classification. - Nikos Karampatziakis; Jack W. Stokes; Anil Thomas; Mady Marinescu (DIMVA, 2012)

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 (ESORICS, 2012)

Detecting malicious landing pages in Malware Distribution Networks. - Gang Wang 011; Jack W. Stokes; Cormac Herley; David Felstead (DSN, 2013)

Large-scale malware classification using random projections and neural networks. - George E. Dahl; Jack W. Stokes; Li Deng 001; Dong Yu 001 (ICASSP, 2013)

Robust scareware image detection. - Christian Seifert; Jack W. Stokes; Christina Colcernian; John C. Platt; Long Lu (ICASSP, 2013)

Malware classification with recurrent networks. - Razvan Pascanu; Jack W. Stokes; Hermineh Sanossian; Mady Marinescu; Anil Thomas (ICASSP, 2015)

MtNet: A Multi-Task Neural Network for Dynamic Malware Classification. - Wenyi Huang; Jack W. Stokes (DIMVA, 2016)

Asking for a second opinion: Re-querying of noisy multi-class labels. - Jack W. Stokes; Ashish Kapoor; Debajyoti Ray (ICASSP, 2016)

MART: Targeted attack detection on a compromised network. - Jack W. Stokes; Himanshu Chandola; Christian Seifert; Tim Burrell (MILCOM, 2016)

Malware classification with LSTM and GRU language models and a character-level CNN. - Ben Athiwaratkun; Jack W. Stokes (ICASSP, 2017)

Hierarchical learning for automated malware classification. - Shayok Chakraborty; Jack W. Stokes; Lin Xiao; Dengyong Zhou; Mady Marinescu; Anil Thomas (MILCOM, 2017)

Attack and Defense of Dynamic Analysis-Based, Adversarial Neural Malware Classification Models. - Jack W. Stokes; De Wang; Mady Marinescu; Marc Marino; Brian Bussone (CoRR, 2017)

Neural Sequential Malware Detection with Parameters. - Rakshit Agrawal; Jack W. Stokes; Mady Marinescu; Karthik Selvaraj (ICASSP, 2018)

Robust Neural Malware Detection Models for Emulation Sequence Learning. - Rakshit Agrawal; Jack W. Stokes; Mady Marinescu; Karthik Selvaraj (MILCOM, 2018)

Latte: Large-Scale Lateral Movement Detection. - Qingyun Liu 003; Jack W. Stokes; Rob Mead; Tim Burrell; Ian Hellen; John Lambert; Andrey Marochko; Weidong Cui (MILCOM, 2018)

Attack and Defense of Dynamic Analysis-Based, Adversarial Neural Malware Detection Models. - Jack W. Stokes; De Wang; Mady Marinescu; Marc Marino; Brian Bussone (MILCOM, 2018)

Neural Classification of Malicious Scripts: A study with JavaScript and VBScript. - Jack W. Stokes; Rakshit Agrawal; Geoff McDonald (CoRR, 2018)

Attention in Recurrent Neural Networks for Ransomware Detection. - Rakshit Agrawal; Jack W. Stokes; Karthik Selvaraj; Mady Marinescu (ICASSP, 2019)

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 (ICASSP, 2019)

ScriptNet: Neural Static Analysis for Malicious JavaScript Detection. - Jack W. Stokes; Rakshit Agrawal; Geoff McDonald; Matthew J. Hausknecht (MILCOM, 2019)

Detection of Prevalent Malware Families with Deep Learning. - Jack W. Stokes; Christian Seifert; Jerry Li 002; Nizar Hejazi (MILCOM, 2019)

Neural Malware Control with Deep Reinforcement Learning. - Yu Wang 091; Jack W. Stokes; Mady Marinescu (MILCOM, 2019)

Actor Critic Deep Reinforcement Learning for Neural Malware Control. - Yu Wang 091; Jack W. Stokes; Mady Marinescu (AAAI, 2020)

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 (ICASSP, 2020)

Detection of Malicious Vbscript Using Static and Dynamic Analysis with Recurrent Deep Learning. - Jack W. Stokes; Rakshit Agrawal; Geoff McDonald (ICASSP, 2020)

Texception: A Character/Word-Level Deep Learning Model for Phishing URL Detection. - Farid Tajaddodianfar; Jack W. Stokes; Arun Gururajan (ICASSP, 2020)

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 (NSDI, 2020)

AMP: Authentication of Media via Provenance. - Paul England; Henrique S. Malvar; Eric Horvitz; Jack W. Stokes; Cédric Fournet; Amaury Chamayou; Sylvan Clebsch; Manuel Costa; Shabnam Erfani; Kevin Kane; Alex Shamis (CoRR, 2020)

Designing Indicators to Combat Fake Media. - Imani N. Sherman; Elissa M. Redmiles; Jack W. Stokes (CoRR, 2020)

Detection Of Malicious DNS and Web Servers using Graph-Based Approaches. - Jinyuan Jia 001; Zheng Dong; Jie Li; Jack W. Stokes (ICASSP, 2021)

URLTran: Improving Phishing URL Detection Using Transformers. - Pranav Maneriker; Jack W. Stokes; Edir Garcia Lazo; Diana Carutasu; Farid Tajaddodianfar; Arun Gururajan (MILCOM, 2021)

Beyond $L_{p}$ Norms: Delving Deeper into Robustness to Physical Image Transformations. - Vikash Sehwag; Jack W. Stokes; Cha Zhang (MILCOM, 2021)

Preventing Machine Learning Poisoning Attacks Using Authentication and Provenance. - Jack W. Stokes; Paul England; Kevin Kane (MILCOM, 2021)

AMP: authentication of media via provenance. - Paul England; Henrique S. Malvar; Eric Horvitz; Jack W. Stokes; Cédric Fournet; Rebecca Burke-Aguero; Amaury Chamayou; Sylvan Clebsch; Manuel Costa; John Deutscher; Shabnam Erfani; Matt Gaylor; et al. (MMSys, 2021)

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 (RAID, 2021)

Designing Media Provenance Indicators to Combat Fake Media. - Imani N. Sherman; Jack W. Stokes; Elissa M. Redmiles (RAID, 2021)

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 (DSN (Supplements), 2022)

I Know Your Triggers: Defending Against Textual Backdoor Attacks with Benign Backdoor Augmentation. - Yue Gao 011; Jack W. Stokes; Manoj Ajith Prasad; Andrew T. Marshall; Kassem Fawaz; Emre Kiciman (MILCOM, 2022)

Radial Spike and Slab Bayesian Neural Networks for Sparse Data in Ransomware Attacks. - Jurijs Nazarovs; Jack W. Stokes; Melissa Turcotte; Justin Carroll; Itai Grady (CoRR, 2022)

Tracking adoption of revocation and cryptographic features in X.509 certificates. - Maryam Zulfiqar; Muhammad Umar Janjua; Muhammad Hassan 001; Talha Ahmad; Tania Saleem; Jack W. Stokes (Int. J. Inf. Sec., 2022)

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; et al. (ACL (1), 2024)

HetTree: Heterogeneous Tree Graph Neural Network. - Mingyu Guan; Jack W. Stokes; Qinlong Luo; Fuchen Liu; Purvanshi Mehta; Elnaz Nouri; Taesoo Kim (CoRR, 2024)

AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks. - Jiacen Xu; Jack W. Stokes; Geoff McDonald; Xuesong Bai; David Marshall 001; Siyue Wang; Adith Swaminathan; Zhou Li 001 (CoRR, 2024)

VLMGuard: Defending VLMs against Malicious Prompts via Unlabeled Data. - Xuefeng Du; Reshmi Ghosh; Robert Sim; Ahmed Salem; Vitor Carvalho; Emily Lawton; Yixuan Li 001; Jack W. Stokes (CoRR, 2024)

Heterogeneous Graph Neural Network on Semantic Tree. - Mingyu Guan; Jack W. Stokes; Qinlong Luo; Fuchen Liu; Purvanshi Mehta; Elnaz Nouri; Taesoo Kim (AAAI, 2025)

Group Preference Alignment: Customized LLM Response Generation from In-Situ Conversations. - Ishani Mondal; Jack W. Stokes; Sujay Kumar Jauhar; Longqi Yang; Mengting Wan; Xiaofeng Xu; Xia Song; Jennifer Neville (CoRR, 2025)

DefenderBench: A Toolkit for Evaluating Language Agents in Cybersecurity Environments. - Chiyu Zhang; Marc-Alexandre Cote; Michael Albada; Anush Sankaran; Jack W. Stokes; Tong Wang; Amir H. Abdi; William Blum; Muhammad Abdul-Mageed (CoRR, 2025)