J. W. Stokes

发表

Large-scale malware classification using random projections and neural networks

Jack W. Stokes, George E. Dahl, Li Deng, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

John C. Platt, Jack W. Stokes, David Grant, 2008, SysML.

A large-scale study of automated web search traffic

Gregory Buehrer, Jack W. Stokes, Kumar Chellapilla, 2008, AIRWeb '08.

Malware classification with recurrent networks

Razvan Pascanu, Jack W. Stokes, Hermineh Sanossian, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Long-Term Study of Honeypots in a Public Cloud

C. Seifert, J. W. Stokes, Xun Fan, 2022, 2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S).

MULTI-STAKEHOLDER MEDIA PROVENANCE MANAGEMENT TO COUNTER SYNTHETIC MEDIA RISKS IN NEWS PUBLISHING

Henrique S. Malvar, Elissa M. Redmiles, E. Horvitz, 2020 .

Actor Critic Deep Reinforcement Learning for Neural Malware Control

Yu Wang, Jack W. Stokes, Mady Marinescu, 2020, AAAI.

Neural Malware Control with Deep Reinforcement Learning

Jack W. Stokes, Yu Wang, Mady Marinescu, 2019, MILCOM 2019 - 2019 IEEE Military Communications Conference (MILCOM).

MART: Targeted attack detection on a compromised network

Jack W. Stokes, Tim Burrell, Christian Seifert, 2016, MILCOM 2016 - 2016 IEEE Military Communications Conference.

Attention in Recurrent Neural Networks for Ransomware Detection

Jack W. Stokes, Rakshit Agrawal, Karthik Selvaraj, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Jack W. Stokes, Ben Athiwaratkun, J. W. Stokes, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Designing Media Provenance Indicators to Combat Fake Media

Jack W. Stokes, Elissa M. Redmiles, Imani N. Sherman, 2021, RAID.

Designing Indicators to Combat Fake Media pdf

Jack W. Stokes, Elissa M. Redmiles, Imani N. Sherman, 2020, ArXiv.

Neural Sequential Malware Detection with Parameters

Jack W. Stokes, Rakshit Agrawal, Karthik Selvaraj, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Preventing Machine Learning Poisoning Attacks Using Authentication and Provenance

Paul England, Jack W. Stokes, Kevin Kane, 2021, MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM).

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

Jack W. Stokes, Farid Tajaddodianfar, Arun Gururajan, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Nonlinear residual acoustic echo suppression for high levels of harmonic distortion

Henrique S. Malvar, Jack W. Stokes, Diego A. Bendersky, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

AMP: authentication of media via provenance pdf

Henrique S. Malvar, Paul England, Eric Horvitz, 2020, MMSys.

URLTran: Improving Phishing URL Detection Using Transformers

Jack W. Stokes, Pranav Maneriker, Arun Gururajan, 2021, MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM).

Hierarchical learning for automated malware classification

Jack W. Stokes, Lin Xiao, Shayok Chakraborty, 2017, MILCOM 2017 - 2017 IEEE Military Communications Conference (MILCOM).

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

Wenyi Huang, Jack W. Stokes, J. W. Stokes, 2016, DIMVA.

A general method for evaluating outage probabilities using Pade approximations

James A. Ritcey, Jack W. Stokes, J. Ritcey, 1998, IEEE GLOBECOM 1998 (Cat. NO. 98CH36250).

Detection of Prevalent Malware Families with Deep Learning

Jack W. Stokes, Christian Seifert, Jerry Li, 2019, MILCOM 2019 - 2019 IEEE Military Communications Conference (MILCOM).

Scalable Telemetry Classification for Automated Malware Detection

Helen J. Wang, Jonathan Keller, John C. Platt, 2012, ESORICS.

ARROW: GenerAting SignatuRes to Detect DRive-By DOWnloads

Wenke Lee, Jack W. Stokes, Junjie Zhang, 2011, WWW.

Radial Spike and Slab Bayesian Neural Networks for Sparse Data in Ransomware Attacks

Melissa J. M. Turcotte, J. W. Stokes, Jurijs Nazarovs, 2022, ArXiv.

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

Vikash Sehwag, J. W. Stokes, Cha Zhang, 2021, IEEE Military Communications Conference.

Privacy-Preserving Phishing Web Page Classification Via Fully Homomorphic Encryption

Jack W. Stokes, Kim Laine, Anna Bertiger, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Jack W. Stokes, De Wang, Mady Marinescu, 2018, MILCOM 2018 - 2018 IEEE Military Communications Conference (MILCOM).

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

J. W. Stokes, M. Marinescu, De Wang, 2017, ArXiv.

Detecting malicious landing pages in Malware Distribution Networks

Gang Wang, Jack W. Stokes, Cormac Herley, 2013, 2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN).

ScriptNet: Neural Static Analysis for Malicious JavaScript Detection

Matthew J. Hausknecht, Jack W. Stokes, Rakshit Agrawal, 2019, MILCOM 2019 - 2019 IEEE Military Communications Conference (MILCOM).

Living-Off-The-Land Command Detection Using Active Learning

John C. Platt, Jack W. Stokes, Joshua Neil, 2021, RAID.

Using File Relationships in Malware Classification

Nikos Karampatziakis, Jack W. Stokes, Anil Thomas, 2012, DIMVA.

Detecting Cyber Attacks Using Anomaly Detection with Explanations and Expert Feedback

Jack W. Stokes, Christian Seifert, Joshua Neil, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Robust Neural Malware Detection Models for Emulation Sequence Learning

Jack W. Stokes, Rakshit Agrawal, Karthik Selvaraj, 2018, MILCOM 2018 - 2018 IEEE Military Communications Conference (MILCOM).

ALADIN: Active Learning of Anomalies to Detect Intrusion

John Platt, Jack W. Stokes, J. Platt, 2008 .

PrivateEye: Scalable and Privacy-Preserving Compromise Detection in the Cloud

Alec Wolman, Stefan Saroiu, Behnaz Arzani, 2020, NSDI.

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

J. W. Stokes, Maryam Zulfiqar, Tania Saleem, 2021, International Journal of Information Security.