Jack W. Stokes

According to our database, Jack W. Stokes authored at least 55 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

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

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, Siyue Wang, Adith Swaminathan, Zhou Li

CoRR, 2024

HetTree: Heterogeneous Tree Graph Neural Network.

Mingyu Guan, Jack W. Stokes, Qinlong Luo, Fuchen Liu, Purvanshi Mehta, Elnaz Nouri, Taesoo Kim

CoRR, 2024

2022

Tracking adoption of revocation and cryptographic features in X.509 certificates.

Maryam Zulfiqar, Muhammad Umar Janjua, Muhammad Hassan, Talha Ahmad, Tania Saleem, Jack W. Stokes

Int. J. Inf. Sec., 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

I Know Your Triggers: Defending Against Textual Backdoor Attacks with Benign Backdoor Augmentation.

Yue Gao, Jack W. Stokes, Manoj Ajith Prasad, Andrew T. Marshall, Kassem Fawaz, Emre Kiciman

Proceedings of the IEEE Military Communications Conference, 2022

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

Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022

2021

Designing Media Provenance Indicators to Combat Fake Media.

Imani N. Sherman, Jack W. Stokes, Elissa M. Redmiles

Proceedings of the RAID '21: 24th International Symposium on Research in Attacks, 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

Proceedings of the RAID '21: 24th International Symposium on Research in Attacks, 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, Andrew Jenks, Kevin Kane, Elissa M. Redmiles, Alex Shamis, Isha Sharma, John C. Simmons, Sam Wenker, Anika Zaman

Proceedings of the MMSys '21: 12th ACM Multimedia Systems Conference, Istanbul, Turkey, 28 September 2021, 2021

Preventing Machine Learning Poisoning Attacks Using Authentication and Provenance.

Jack W. Stokes, Paul England, Kevin Kane

Proceedings of the 2021 IEEE Military Communications Conference, 2021

Beyond $L_{p}$ Norms: Delving Deeper into Robustness to Physical Image Transformations.

Vikash Sehwag, Jack W. Stokes, Cha Zhang

Proceedings of the 2021 IEEE Military Communications Conference, 2021

URLTran: Improving Phishing URL Detection Using Transformers.

Pranav Maneriker, Jack W. Stokes, Edir Garcia Lazo, Diana Carutasu, Farid Tajaddodianfar, Arun Gururajan

Proceedings of the 2021 IEEE Military Communications Conference, 2021

Detection Of Malicious DNS and Web Servers using Graph-Based Approaches.

Jinyuan Jia, Zheng Dong, Jie Li, Jack W. Stokes

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Designing Indicators to Combat Fake Media.

Imani N. Sherman, Elissa M. Redmiles, Jack W. Stokes

CoRR, 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

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

Proceedings of the 17th USENIX Symposium on Networked Systems Design and Implementation, 2020

Texception: A Character/Word-Level Deep Learning Model for Phishing URL Detection.

Farid Tajaddodianfar, Jack W. Stokes, Arun Gururajan

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Detection of Malicious Vbscript Using Static and Dynamic Analysis with Recurrent Deep Learning.

Jack W. Stokes, Rakshit Agrawal, Geoff McDonald

Proceedings of the 2020 IEEE International Conference on Acoustics, 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

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Actor Critic Deep Reinforcement Learning for Neural Malware Control.

Yu Wang, Jack W. Stokes, Mady Marinescu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Neural Malware Control with Deep Reinforcement Learning.

Yu Wang, Jack W. Stokes, Mady Marinescu

Proceedings of the 2019 IEEE Military Communications Conference, 2019

Detection of Prevalent Malware Families with Deep Learning.

Jack W. Stokes, Christian Seifert, Jerry Li, Nizar Hejazi

Proceedings of the 2019 IEEE Military Communications Conference, 2019

ScriptNet: Neural Static Analysis for Malicious JavaScript Detection.

Jack W. Stokes, Rakshit Agrawal, Geoff McDonald, Matthew J. Hausknecht

Proceedings of the 2019 IEEE Military Communications Conference, 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

Proceedings of the IEEE International Conference on Acoustics, 2019

Attention in Recurrent Neural Networks for Ransomware Detection.

Rakshit Agrawal, Jack W. Stokes, Karthik Selvaraj, Mady Marinescu

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Neural Classification of Malicious Scripts: A study with JavaScript and VBScript.

Jack W. Stokes, Rakshit Agrawal, Geoff McDonald

CoRR, 2018

Attack and Defense of Dynamic Analysis-Based, Adversarial Neural Malware Detection Models.

Jack W. Stokes, De Wang, Mady Marinescu, Marc Marino, Brian Bussone

Proceedings of the 2018 IEEE Military Communications Conference, 2018

Latte: Large-Scale Lateral Movement Detection.

Qingyun Liu, Jack W. Stokes, Rob Mead, Tim Burrell, Ian Hellen, John Lambert, Andrey Marochko, Weidong Cui

Proceedings of the 2018 IEEE Military Communications Conference, 2018

Robust Neural Malware Detection Models for Emulation Sequence Learning.

Rakshit Agrawal, Jack W. Stokes, Mady Marinescu, Karthik Selvaraj

Proceedings of the 2018 IEEE Military Communications Conference, 2018

Neural Sequential Malware Detection with Parameters.

Rakshit Agrawal, Jack W. Stokes, Mady Marinescu, Karthik Selvaraj

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

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

Hierarchical learning for automated malware classification.

Shayok Chakraborty, Jack W. Stokes, Lin Xiao, Dengyong Zhou, Mady Marinescu, Anil Thomas

Proceedings of the 2017 IEEE Military Communications Conference, 2017

Malware classification with LSTM and GRU language models and a character-level CNN.

Ben Athiwaratkun, Jack W. Stokes

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

MART: Targeted attack detection on a compromised network.

Jack W. Stokes, Himanshu Chandola, Christian Seifert, Tim Burrell

Proceedings of the 2016 IEEE Military Communications Conference, 2016

Asking for a second opinion: Re-querying of noisy multi-class labels.

Jack W. Stokes, Ashish Kapoor, Debajyoti Ray

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

MtNet: A Multi-Task Neural Network for Dynamic Malware Classification.

Wenyi Huang, Jack W. Stokes

Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2016

2015

Malware classification with recurrent networks.

Razvan Pascanu, Jack W. Stokes, Hermineh Sanossian, Mady Marinescu, Anil Thomas

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2013

Robust scareware image detection.

Christian Seifert, Jack W. Stokes, Christina Colcernian, John C. Platt, Long Lu

Proceedings of the IEEE International Conference on Acoustics, 2013

Large-scale malware classification using random projections and neural networks.

George E. Dahl, Jack W. Stokes, Li Deng, Dong Yu

Proceedings of the IEEE International Conference on Acoustics, 2013

Detecting malicious landing pages in Malware Distribution Networks.

Gang Wang, Jack W. Stokes, Cormac Herley, David Felstead

Proceedings of the 2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2013

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

Proceedings of the Computer Security - ESORICS 2012, 2012

Using File Relationships in Malware Classification.

Nikos Karampatziakis, Jack W. Stokes, Anil Thomas, Mady Marinescu

Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2012

2011

ARROW: GenerAting SignatuRes to Detect DRive-By DOWnloads.

Junjie Zhang, Christian Seifert, Jack W. Stokes, Wenke Lee

Proceedings of the 20th International Conference on World Wide Web, 2011

2010

WebCop: Locating Neighborhoods of Malware on the Web.

Jack W. Stokes, Reid Andersen, Christian Seifert, Kumar Chellapilla

Proceedings of the 3rd USENIX Workshop on Large-Scale Exploits and Emergent Threats, 2010

2008

Classification of Automated Search Traffic.

Gregory Buehrer, Jack W. Stokes, Kumar Chellapilla, John C. Platt

Proceedings of the Weaving Services and People on the World Wide Web, 2008

Finding Similar Failures Using Callstack Similarity.

Kevin Bartz, Jack W. Stokes, John C. Platt, Ryan Kivett, David Grant, Silviu Calinoiu, Gretchen Loihle

Proceedings of the Third Workshop on Tackling Computer Systems Problems with Machine Learning Techniques, 2008

Nonlinear residual acoustic echo suppression for high levels of harmonic distortion.

Diego A. Bendersky, Jack W. Stokes, Henrique S. Malvar

Proceedings of the IEEE International Conference on Acoustics, 2008

A large-scale study of automated web search traffic.

Gregory Buehrer, Jack W. Stokes, Kumar Chellapilla

Proceedings of the AIRWeb 2008, 2008

2007

Normalized Double-Talk Detection Based on Microphone and AEC Error Cross-Correlation.

Asif Iqbal Mohammad, Jack W. Stokes, Steven L. Grant

Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

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

Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006

Acoustic Echo Cancelation for High Noise Environments.

Amit Chhetri, Jack W. Stokes, Dinei A. F. Florêncio

Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006

Robust Rls with Round Robin Regularization Including Application to Stereo Acoustic Echo Cancellation.

Jack W. Stokes, John C. Platt

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2004

Acoustic echo cancellation with arbitrary playback sampling rate.

Jack W. Stokes, Henrique S. Malvar

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2001

Performance analysis of DS/CDMA systems with shadowing and flat fading.

Jack W. Stokes, James A. Ritcey

Signal Process., 2001