Jack W. Stokes

发表

Classification of Automated Search Traffic

John C. Platt, Gregory Buehrer, Jack W. Stokes, 2008, Weaving Services and People on the World Wide Web.

Detection of Prevalent Malware Families with Deep Learning

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

Latte: Large-Scale Lateral Movement Detection

Jack W. Stokes, Qingyun Liu, Weidong Cui, 2018, MILCOM 2018 - 2018 IEEE Military Communications Conference (MILCOM).

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

John C. Platt, Jack W. Stokes, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Computer-Aided Design (CAD) Tools to Support the Human Factors Design Teams

Jack W. Stokes, Cynthia H. Null, Mariea D. Jackson, 2014 .

Multichannel Acoustic Echo Cancellation in Multiparty Spatial Audio Conferencing with Constrained Kalman Filtering

Zhengyou Zhang, Jack W. Stokes, Qin Cai, 2008 .

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).

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

James A. Ritcey, Jack W. Stokes, 2001, Signal Process..

Acoustic echo cancellation with arbitrary playback sampling rate

Henrique S. Malvar, Jack W. Stokes, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

A frequency domain doubletalk detector based on cross-correlation and extension to multi-channel case

Jack W. Stokes, Mohammad Asif Iqbal, Steven L. Grant, 2009, 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.

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).

Hierarchical learning for automated malware classification

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

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).

AMP: authentication of media via provenance pdf

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

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

Ashish Kapoor, Jack W. Stokes, Debajyoti Ray, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Jack W. Stokes, Mady Marinescu, Marc Marino, 2017 .

Neural Malware Control with Deep Reinforcement Learning

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

WebCop: Locating Neighborhoods of Malware on the Web

Jack W. Stokes, Kumar Chellapilla, Christian Seifert, 2010, LEET.

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

ALADIN: Active Learning of Anomalies to Detect Intrusion

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

Scalable Telemetry Classification for Automated Malware Detection

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

Speaker Identification using a Microphone Array and a Joint HMM with Speech Spectrum and Angle of Arrival

John C. Platt, Jack W. Stokes, Sumit Basu, 2006, 2006 IEEE International Conference on Multimedia and Expo.

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).

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).

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.

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

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

Robust scareware image detection

John C. Platt, Jack W. Stokes, Long Lu, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Multi-channel echo cancellation with round-robin scheduler

Jack W. Stokes, John Platt, 2005 .

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

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

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

Jack W. Stokes, Rakshit Agrawal, Geoff McDonald, 2018, ArXiv.

Error probabilities of synchronous DS/CDMA systems with random and deterministic signature sequences for ideal and fading channels

James A. Ritcey, Jack W. Stokes, 1996, Proceedings of ICC/SUPERCOMM '96 - International Conference on Communications.

A large-scale study of automated web search traffic

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

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).

REGRESSION-BASED RESIDUAL ACOUSTIC ECHO SUPPRESSION

Jack W. Stokes, John Platt, Amit Singh Chhetri, 2017 .

ARROW: GenerAting SignatuRes to Detect DRive-By DOWnloads

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

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).

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.

Crew considerations in the design for Space Station Freedom modules on-orbit maintenance

Jack W. Stokes, Katherine A. Williams, 1992 .

Malware classification with recurrent networks

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

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

Jack W. Stokes, Steven L. Grant, Asif Iqbal Mohammad, 2007, 2007 IEEE International Conference on Multimedia and Expo.

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).

Using File Relationships in Malware Classification

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

Designing Indicators to Combat Fake Media pdf

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

Acoustic Echo Cancelation for High Noise Environments

Jack W. Stokes, Dinei A. F. Florêncio, Amit Chhetri, 2006, 2006 IEEE International Conference on Multimedia and Expo.

MART: Targeted attack detection on a compromised network

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

Actor Critic Deep Reinforcement Learning for Neural Malware Control

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

Classification of Automated Web Traffic

John Platt, Jack W. Stokes, Kumar Chellapilla, 2009 .

DOUBLETALK DETECTION USING REAL TIME RECURRENT LEARNING

John C. Platt, Jack W. Stokes, Mohammad Asif Iqbal, 2006 .

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).

Enhancing the Human Factors Engineering Role in an Austere Fiscal Environment

Jack W. Stokes, 2003 .

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).

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).

URLTran: Improving Phishing URL Detection Using Transformers

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

Designing Media Provenance Indicators to Combat Fake Media

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

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).

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

Jack W. Stokes, Vikash Sehwag, Cha Zhang, 2021, MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM).

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

Jack W. Stokes, Jinyuan Jia, Jie Li, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

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

Evaluation of error probabilities for general signal constellations

James A. Ritcey, Jack W. Stokes, 1999, Seamless Interconnection for Universal Services. Global Telecommunications Conference. GLOBECOM'99. (Cat. No.99CH37042).

ALADIN : Active Learning for Statistical Intrusion Detection

John C. Platt, Jack W. Stokes, 2007 .