Brocade: Landmark Routing on Overlay Networks. - Ben Y. Zhao; Yitao Duan; Ling Huang 001; Anthony D. Joseph; John Kubiatowicz (IPTPS, 2002)

Exploiting Routing Redundancy via Structured Peer-to-Peer Overlays. - Ben Y. Zhao; Ling Huang 001; Jeremy Stribling; Anthony D. Joseph; John Kubiatowicz (ICNP, 2003)

Approximate Object Location and Spam Filtering on Peer-to-Peer Systems. - Feng Zhou; Li Zhuang; Ben Y. Zhao; Ling Huang 001; Anthony D. Joseph; John Kubiatowicz (Middleware, 2003)

Rapid Mobility via Type Indirection. - Ben Y. Zhao; Ling Huang 001; Anthony D. Joseph; John Kubiatowicz (IPTPS, 2004)

Tapestry: a resilient global-scale overlay for service deployment. - Ben Y. Zhao; Ling Huang 001; Jeremy Stribling; Sean C. Rhea; Anthony D. Joseph; John Kubiatowicz (IEEE J. Sel. Areas Commun., 2004)

Toward sophisticated detection with distributed triggers. - Ling Huang 001; Minos N. Garofalakis; Joseph M. Hellerstein; Anthony D. Joseph; Nina Taft (MineNet, 2006)

In-Network PCA and Anomaly Detection. - Ling Huang 001; XuanLong Nguyen; Minos N. Garofalakis; Michael I. Jordan; Anthony D. Joseph; Nina Taft (NIPS, 2006)

Communication-Efficient Tracking of Distributed Cumulative Triggers. - Ling Huang 001; Minos N. Garofalakis; Anthony D. Joseph; Nina Taft (ICDCS, 2007)

Communication-Efficient Online Detection of Network-Wide Anomalies. - Ling Huang 001; XuanLong Nguyen; Minos N. Garofalakis; Joseph M. Hellerstein; Michael I. Jordan; Anthony D. Joseph; Nina Taft (INFOCOM, 2007)

Spectral Clustering with Perturbed Data. - Ling Huang 001; Donghui Yan; Michael I. Jordan; Nina Taft (NIPS, 2008)

Mining Console Logs for Large-Scale System Problem Detection. - Wei Xu 012; Ling Huang 001; Armando Fox; David A. Patterson 001; Michael I. Jordan (SysML, 2008)

Support Vector Machines, Data Reduction, and Approximate Kernel Matrices. - XuanLong Nguyen; Ling Huang 001; Anthony D. Joseph (ECML/PKDD (2), 2008)

Evading Anomaly Detection through Variance Injection Attacks on PCA. - Benjamin I. P. Rubinstein; Blaine Nelson; Ling Huang 001; Anthony D. Joseph; Shing-hon Lau; Nina Taft; J. Doug Tygar (RAID, 2008)

Online System Problem Detection by Mining Patterns of Console Logs. - Wei Xu 012; Ling Huang 001; Armando Fox; David A. Patterson 001; Michael I. Jordan (ICDM, 2009)

ANTIDOTE: understanding and defending against poisoning of anomaly detectors. - Benjamin I. P. Rubinstein; Blaine Nelson; Ling Huang 001; Anthony D. Joseph; Shing-hon Lau; Satish Rao; Nina Taft; J. D. Tygar (Internet Measurement Conference, 2009)

Fast approximate spectral clustering. - Donghui Yan; Ling Huang 001; Michael I. Jordan (KDD, 2009)

Impact of IT monoculture on behavioral end host intrusion detection. - Dhiman Barman; Jaideep Chandrashekar; Nina Taft; Michalis Faloutsos; Ling Huang 001; Frédéric Giroire (WREN, 2009)

Stealthy poisoning attacks on PCA-based anomaly detectors. - Benjamin I. P. Rubinstein; Blaine Nelson; Ling Huang 001; Anthony D. Joseph; Shing-hon Lau; Satish Rao; Nina Taft; J. D. Tygar (SIGMETRICS Perform. Evaluation Rev., 2009)

An Analysis of the Convergence of Graph Laplacians. - Daniel Ting; Ling Huang 001; Michael I. Jordan (ICML, 2010)

Detecting Large-Scale System Problems by Mining Console Logs. - Wei Xu 012; Ling Huang 001; Armando Fox; David A. Patterson 001; Michael I. Jordan (ICML, 2010)

Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression. - Ling Huang 001; Jinzhu Jia; Bin Yu 001; Byung-Gon Chun; Petros Maniatis; Mayur Naik (NIPS, 2010)

Experience Mining Google's Production Console Logs. - Wei Xu 012; Ling Huang 001; Michael I. Jordan (SLAML, 2010)

Classifier Evasion: Models and Open Problems. - Blaine Nelson; Benjamin I. P. Rubinstein; Ling Huang 001; Anthony D. Joseph; J. D. Tygar (PSDML, 2010)

Mantis: Predicting System Performance through Program Analysis and Modeling - Byung-Gon Chun; Ling Huang 001; Sangmin Lee; Petros Maniatis; Mayur Naik (CoRR, 2010)

Near-Optimal Evasion of Convex-Inducing Classifiers. - Blaine Nelson; Benjamin I. P. Rubinstein; Ling Huang 001; Anthony D. Joseph; Shing-hon Lau; Steven J. Lee; Satish Rao; Anthony Tran; J. Doug Tygar (AISTATS, 2010)

Adversarial machine learning. - Ling Huang 001; Anthony D. Joseph; Blaine Nelson; Benjamin I. P. Rubinstein; J. D. Tygar (AISec, 2011)

Predicting Links and Inferring Attributes using a Social-Attribute Network (SAN) - Neil Zhenqiang Gong; Ameet Talwalkar; Lester W. Mackey; Ling Huang 001; Eui Chul Richard Shin; Emil Stefanov; Elaine Shi; Dawn Song (CoRR, 2011)

Short paper: smartphones: not smart enough? - Ian Timothy Fischer; Cynthia Kuo; Ling Huang 001; Mario Frank 001 (SPSM@CCS, 2012)

Robust detection of comment spam using entropy rate. - Alex Kantchelian; Justin Ma; Ling Huang 001; Sadia Afroz 001; Anthony D. Joseph; J. D. Tygar (AISec, 2012)

Juxtapp: A Scalable System for Detecting Code Reuse among Android Applications. - Steve Hanna; Ling Huang 001; Edward XueJun Wu; Saung Li; Charles Chen; Dawn Song (DIMVA, 2012)

Evolution of social-attribute networks: measurements, modeling, and implications using google+. - Neil Zhenqiang Gong; Wenchang Xu; Ling Huang 001; Prateek Mittal; Emil Stefanov; Vyas Sekar; Dawn Song (Internet Measurement Conference, 2012)

Query Strategies for Evading Convex-Inducing Classifiers. - Blaine Nelson; Benjamin I. P. Rubinstein; Ling Huang 001; Anthony D. Joseph; Steven J. Lee; Satish Rao; J. D. Tygar (J. Mach. Learn. Res., 2012)

Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning. - Benjamin I. P. Rubinstein; Peter L. Bartlett; Ling Huang 001; Nina Taft (J. Priv. Confidentiality, 2012)

Approaches to adversarial drift. - Alex Kantchelian; Sadia Afroz 001; Ling Huang 001; Aylin Caliskan Islam; Brad Miller 002; Michael Carl Tschantz; Rachel Greenstadt; Anthony D. Joseph; J. D. Tygar (AISec, 2013)

SAFE: Secure authentication with Face and Eyes. - Arman Boehm; Dongqu Chen; Mario Frank 001; Ling Huang 001; Cynthia Kuo; Tihomir Lolic; Ivan Martinovic; Dawn Song (PRISMS, 2013)

Mantis: Automatic Performance Prediction for Smartphone Applications. - Yongin Kwon; Sangmin Lee; Hayoon Yi; Donghyun Kwon; Seungjun Yang; Byung-Gon Chun; Ling Huang 001; Petros Maniatis; Mayur Naik; Yunheung Paek (USENIX ATC, 2013)

Adversarial Active Learning. - Brad Miller 002; Alex Kantchelian; Sadia Afroz 001; Rekha Bachwani; Edwin Dauber; Ling Huang 001; Michael Carl Tschantz; Anthony D. Joseph; J. Doug Tygar (AISec@CCS, 2014)

Morpheus: benchmarking computational diversity in mobile malware. - Mikhail Kazdagli; Ling Huang 001; Vijay Janapa Reddi; Mohit Tiwari (HASP@ISCA, 2014)

Large-Margin Convex Polytope Machine. - Alex Kantchelian; Michael Carl Tschantz; Ling Huang 001; Peter L. Bartlett; Anthony D. Joseph; J. Doug Tygar (NIPS, 2014)

I Know Why You Went to the Clinic: Risks and Realization of HTTPS Traffic Analysis. - Brad Miller 002; Ling Huang 001; Anthony D. Joseph; J. D. Tygar (Privacy Enhancing Technologies, 2014)

Joint Link Prediction and Attribute Inference Using a Social-Attribute Network. - Neil Zhenqiang Gong; Ameet Talwalkar; Lester W. Mackey; Ling Huang 001; Eui Chul Richard Shin; Emil Stefanov; Elaine Shi; Dawn Song (ACM Trans. Intell. Syst. Technol., 2014)

Back to the Future: Malware Detection with Temporally Consistent Labels. - Brad Miller 002; Alex Kantchelian; Michael Carl Tschantz; Sadia Afroz 001; Rekha Bachwani; Riyaz Faizullabhoy; Ling Huang 001; Vaishaal Shankar; Tony Wu 002; George Yiu; Anthony D. Joseph; J. D. Tygar (CoRR, 2015)

DualAcE: fine-grained dual access control enforcement with multi-privacy guarantee in DaaS. - Xiuxia Tian; Ling Huang 001; Yong Wang; Chaofeng Sha; Xiaoling Wang 004 (Secur. Commun. Networks, 2015)

What You Submit Is Who You Are: A Multimodal Approach for Deanonymizing Scientific Publications. - Mathias Payer; Ling Huang 001; Neil Zhenqiang Gong; Kevin Borgolte; Mario Frank 001 (IEEE Trans. Inf. Forensics Secur., 2015)

CloudKeyBank: Privacy and Owner Authorization Enforced Key Management Framework. - Xiuxia Tian; Ling Huang 001; Tony Wu 002; Xiaoling Wang 004; Aoying Zhou (IEEE Trans. Knowl. Data Eng., 2015)

Mantis: Efficient Predictions of Execution Time, Energy Usage, Memory Usage and Network Usage on Smart Mobile Devices. - Yongin Kwon; Sangmin Lee; Hayoon Yi; Donghyun Kwon; Seungjun Yang; Byung-Gon Chun; Ling Huang 001; Petros Maniatis; Mayur Naik; Yunheung Paek (IEEE Trans. Mob. Comput., 2015)

Reviewer Integration and Performance Measurement for Malware Detection. - Brad Miller 002; Alex Kantchelian; Michael Carl Tschantz; Sadia Afroz 001; Rekha Bachwani; Riyaz Faizullabhoy; Ling Huang 001; Vaishaal Shankar; Tony Wu 002; George Yiu; Anthony D. Joseph; J. D. Tygar (DIMVA, 2016)

EMMA: A New Platform to Evaluate Hardware-based Mobile Malware Analyses. - Mikhail Kazdagli; Ling Huang 001; Vijay Janapa Reddi; Mohit Tiwari (CoRR, 2016)

FraudVis: Understanding Unsupervised Fraud Detection Algorithms. - Jiao Sun; Qixin Zhu; Zhifei Liu; Xin Liu; Jihae Lee; Zhigang Su; Lei Shi 002; Ling Huang 001; Wei Xu 005 (PacificVis, 2018)

Do Not Pull My Data for Resale: Protecting Data Providers Using Data Retrieval Pattern Analysis. - Guosai Wang; Shiyang Xiang; Yitao Duan; Ling Huang 001; Wei Xu 005 (SIGIR, 2018)

DIAG-NRE: A Deep Pattern Diagnosis Framework for Distant Supervision Neural Relation Extraction. - Shun Zheng 001; Peilin Yu; Lu Chen; Ling Huang 001; Wei Xu 005 (CoRR, 2018)

DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction. - Shun Zheng 001; Xu Han 007; Yankai Lin; Peilin Yu; Lu Chen; Ling Huang 001; Zhiyuan Liu 001; Wei Xu 005 (ACL (1), 2019)

No Place to Hide: Catching Fraudulent Entities in Tensors. - Yikun Ban; Xin Liu; Ling Huang 001; Yitao Duan; Xue Liu 001; Wei Xu 005 (WWW, 2019)

FDHelper: Assist Unsupervised Fraud Detection Experts with Interactive Feature Selection and Evaluation. - Jiao Sun; Yin Li 008; Charley Chen; Jihae Lee; Xin Liu; Zhongping Zhang; Ling Huang 001; Lei Shi 002; Wei Xu 005 (CHI, 2020)

Modeling Heterogeneous Statistical Patterns in High-dimensional Data by Adversarial Distributions: An Unsupervised Generative Framework. - Han Zhang; Wenhao Zheng 001; Charley Chen; Kevin Gao; Yao Hu; Ling Huang 001; Wei Xu 005 (WWW, 2020)