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Ling Huang 0001
Person information
- affiliation: Tsinghua University, Institute of Interdisciplinary Information Sciences, Beijing, China
- affiliation (former): DataVisor, Mountain View, CA, USA
- affiliation (former): Intel Research, Berkeley, CA, USA
- affiliation (PhD): University of California Berkeley, Computer Science Division, CA, USA
Other persons with the same name
- Ling Huang — disambiguation page
- Ling Huang 0002
— South China Agricultural University, College of Mathematics and Informatics, Guangzhou, China (and 1 more)
- Ling Huang 0003
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Journal Articles
- 2015
- [j9]Xiuxia Tian, Ling Huang, Yong Wang, Chaofeng Sha, Xiaoling Wang:
DualAcE: fine-grained dual access control enforcement with multi-privacy guarantee in DaaS. Secur. Commun. Networks 8(8): 1494-1508 (2015) - [j8]Mathias Payer, Ling Huang, Neil Zhenqiang Gong, Kevin Borgolte, Mario Frank:
What You Submit Is Who You Are: A Multimodal Approach for Deanonymizing Scientific Publications. IEEE Trans. Inf. Forensics Secur. 10(1): 200-212 (2015) - [j7]Xiuxia Tian, Ling Huang, Tony Wu, Xiaoling Wang, Aoying Zhou:
CloudKeyBank: Privacy and Owner Authorization Enforced Key Management Framework. IEEE Trans. Knowl. Data Eng. 27(12): 3217-3230 (2015) - [j6]Yongin Kwon, Sangmin Lee, Hayoon Yi, Donghyun Kwon, Seungjun Yang, Byung-Gon Chun, Ling Huang, Petros Maniatis, Mayur Naik, Yunheung Paek:
Mantis: Efficient Predictions of Execution Time, Energy Usage, Memory Usage and Network Usage on Smart Mobile Devices. IEEE Trans. Mob. Comput. 14(10): 2059-2072 (2015) - 2014
- [j5]Neil Zhenqiang Gong, Ameet Talwalkar, Lester W. Mackey
Joint Link Prediction and Attribute Inference Using a Social-Attribute Network. ACM Trans. Intell. Syst. Technol. 5(2): 27:1-27:20 (2014) - 2012
- [j4]Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, Steven J. Lee, Satish Rao, J. D. Tygar:
Query Strategies for Evading Convex-Inducing Classifiers. J. Mach. Learn. Res. 13: 1293-1332 (2012) - [j3]Benjamin I. P. Rubinstein
Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning. J. Priv. Confidentiality 4(1) (2012) - 2009
- [j2]Benjamin I. P. Rubinstein
Stealthy poisoning attacks on PCA-based anomaly detectors. SIGMETRICS Perform. Evaluation Rev. 37(2): 73-74 (2009) - 2004
- [j1]Ben Y. Zhao, Ling Huang, Jeremy Stribling, Sean C. Rhea, Anthony D. Joseph
Tapestry: a resilient global-scale overlay for service deployment. IEEE J. Sel. Areas Commun. 22(1): 41-53 (2004)
Conference and Workshop Papers
- 2020
- [c43]Jiao Sun, Yin Li
FDHelper: Assist Unsupervised Fraud Detection Experts with Interactive Feature Selection and Evaluation. CHI 2020: 1-12 - [c42]Han Zhang, Wenhao Zheng, Charley Chen, Kevin Gao, Yao Hu, Ling Huang, Wei Xu:
Modeling Heterogeneous Statistical Patterns in High-dimensional Data by Adversarial Distributions: An Unsupervised Generative Framework. WWW 2020: 1389-1399 - 2019
- [c41]Shun Zheng, Xu Han, Yankai Lin, Peilin Yu, Lu Chen, Ling Huang, Zhiyuan Liu, Wei Xu:
DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction. ACL (1) 2019: 1419-1429 - [c40]Yikun Ban, Xin Liu, Ling Huang, Yitao Duan, Xue Liu, Wei Xu:
No Place to Hide: Catching Fraudulent Entities in Tensors. WWW 2019: 83-93 - 2018
- [c39]Jiao Sun, Qixin Zhu, Zhifei Liu, Xin Liu, Jihae Lee, Zhigang Su, Lei Shi, Ling Huang, Wei Xu:
FraudVis: Understanding Unsupervised Fraud Detection Algorithms. PacificVis 2018: 170-174 - [c38]Guosai Wang, Shiyang Xiang, Yitao Duan, Ling Huang, Wei Xu:
Do Not Pull My Data for Resale: Protecting Data Providers Using Data Retrieval Pattern Analysis. SIGIR 2018: 1053-1056 - 2016
- [c37]Brad Miller, Alex Kantchelian, Michael Carl Tschantz, Sadia Afroz, Rekha Bachwani, Riyaz Faizullabhoy, Ling Huang, Vaishaal Shankar, Tony Wu, George Yiu, Anthony D. Joseph
Reviewer Integration and Performance Measurement for Malware Detection. DIMVA 2016: 122-141 - [c36]Xiuxia Tian, Ling Huang, Tony Wu, Xiaoling Wang, Aoying Zhou:
CloudKeyBank: Privacy and owner authorization enforced key management framework. ICDE 2016: 1478-1479 - 2014
- [c35]Brad Miller, Alex Kantchelian, Sadia Afroz, Rekha Bachwani, Edwin Dauber
Adversarial Active Learning. AISec@CCS 2014: 3-14 - [c34]Mikhail Kazdagli, Ling Huang, Vijay Janapa Reddi, Mohit Tiwari
Morpheus: benchmarking computational diversity in mobile malware. HASP@ISCA 2014: 3:1-3:8 - [c33]Alex Kantchelian, Michael Carl Tschantz, Ling Huang, Peter L. Bartlett, Anthony D. Joseph, J. Doug Tygar:
Large-Margin Convex Polytope Machine. NIPS 2014: 3248-3256 - [c32]Brad Miller, Ling Huang, Anthony D. Joseph
I Know Why You Went to the Clinic: Risks and Realization of HTTPS Traffic Analysis. Privacy Enhancing Technologies 2014: 143-163 - 2013
- [c31]Alex Kantchelian, Sadia Afroz, Ling Huang, Aylin Caliskan Islam, Brad Miller, Michael Carl Tschantz, Rachel Greenstadt, Anthony D. Joseph
Approaches to adversarial drift. AISec 2013: 99-110 - [c30]Arman Boehm, Dongqu Chen, Mario Frank, Ling Huang, Cynthia Kuo, Tihomir Lolic, Ivan Martinovic, Dawn Song:
SAFE: Secure authentication with Face and Eyes. PRISMS 2013: 1-8 - [c29]Yongin Kwon, Sangmin Lee, Hayoon Yi, Donghyun Kwon, Seungjun Yang, Byung-Gon Chun, Ling Huang, Petros Maniatis, Mayur Naik, Yunheung Paek:
Mantis: Automatic Performance Prediction for Smartphone Applications. USENIX ATC 2013: 297-308 - 2012
- [c28]Ian Timothy Fischer, Cynthia Kuo, Ling Huang, Mario Frank:
Short paper: smartphones: not smart enough? SPSM@CCS 2012: 27-32 - [c27]Alex Kantchelian, Justin Ma, Ling Huang, Sadia Afroz, Anthony D. Joseph
Robust detection of comment spam using entropy rate. AISec 2012: 59-70 - [c26]Steve Hanna, Ling Huang, Edward XueJun Wu, Saung Li, Charles Chen, Dawn Song:
Juxtapp: A Scalable System for Detecting Code Reuse among Android Applications. DIMVA 2012: 62-81 - [c25]Neil Zhenqiang Gong, Wenchang Xu, Ling Huang, Prateek Mittal, Emil Stefanov, Vyas Sekar, Dawn Song:
Evolution of social-attribute networks: measurements, modeling, and implications using google+. Internet Measurement Conference 2012: 131-144 - 2011
- [c24]Ling Huang, Anthony D. Joseph
Adversarial machine learning. AISec 2011: 43-58 - 2010
- [c23]Wei Xu, Ling Huang, Armando Fox, David A. Patterson, Michael I. Jordan:
Detecting Large-Scale System Problems by Mining Console Logs. ICML 2010: 37-46 - [c22]Daniel Ting, Ling Huang, Michael I. Jordan:
An Analysis of the Convergence of Graph Laplacians. ICML 2010: 1079-1086 - [c21]Ling Huang, Jinzhu Jia, Bin Yu, Byung-Gon Chun, Petros Maniatis, Mayur Naik:
Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression. NIPS 2010: 883-891 - [c20]Wei Xu, Ling Huang, Michael I. Jordan:
Experience Mining Google's Production Console Logs. SLAML 2010 - [c19]Blaine Nelson, Benjamin I. P. Rubinstein
Classifier Evasion: Models and Open Problems. PSDML 2010: 92-98 - [c18]Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, Shing-hon Lau, Steven J. Lee, Satish Rao, Anthony Tran, J. Doug Tygar:
Near-Optimal Evasion of Convex-Inducing Classifiers. AISTATS 2010: 549-556 - 2009
- [c17]Wei Xu, Ling Huang, Armando Fox, David A. Patterson, Michael I. Jordan
Online System Problem Detection by Mining Patterns of Console Logs. ICDM 2009: 588-597 - [c16]Benjamin I. P. Rubinstein
ANTIDOTE: understanding and defending against poisoning of anomaly detectors. Internet Measurement Conference 2009: 1-14 - [c15]Donghui Yan
Fast approximate spectral clustering. KDD 2009: 907-916 - [c14]Dhiman Barman, Jaideep Chandrashekar, Nina Taft, Michalis Faloutsos
Impact of IT monoculture on behavioral end host intrusion detection. WREN 2009: 27-36 - [c13]Wei Xu, Ling Huang, Armando Fox, David A. Patterson, Michael I. Jordan
Detecting large-scale system problems by mining console logs. SOSP 2009: 117-132 - 2008
- [c12]Ling Huang, Donghui Yan, Michael I. Jordan, Nina Taft:
Spectral Clustering with Perturbed Data. NIPS 2008: 705-712 - [c11]Wei Xu, Ling Huang, Armando Fox, David A. Patterson, Michael I. Jordan:
Mining Console Logs for Large-Scale System Problem Detection. SysML 2008 - [c10]XuanLong Nguyen, Ling Huang, Anthony D. Joseph
Support Vector Machines, Data Reduction, and Approximate Kernel Matrices. ECML/PKDD (2) 2008: 137-153 - [c9]Benjamin I. P. Rubinstein
Evading Anomaly Detection through Variance Injection Attacks on PCA. RAID 2008: 394-395 - 2007
- [c8]Ling Huang, Minos N. Garofalakis, Anthony D. Joseph
Communication-Efficient Tracking of Distributed Cumulative Triggers. ICDCS 2007: 54 - [c7]Ling Huang, XuanLong Nguyen, Minos N. Garofalakis, Joseph M. Hellerstein, Michael I. Jordan
Communication-Efficient Online Detection of Network-Wide Anomalies. INFOCOM 2007: 134-142 - 2006
- [c6]Ling Huang, Minos N. Garofalakis, Joseph M. Hellerstein, Anthony D. Joseph
Toward sophisticated detection with distributed triggers. MineNet 2006: 311-316 - [c5]Ling Huang, XuanLong Nguyen, Minos N. Garofalakis, Michael I. Jordan, Anthony D. Joseph, Nina Taft:
In-Network PCA and Anomaly Detection. NIPS 2006: 617-624 - 2004
- [c4]Ben Y. Zhao, Ling Huang, Anthony D. Joseph, John Kubiatowicz:
Rapid Mobility via Type Indirection. IPTPS 2004: 64-74 - 2003
- [c3]Ben Y. Zhao, Ling Huang, Jeremy Stribling, Anthony D. Joseph
Exploiting Routing Redundancy via Structured Peer-to-Peer Overlays. ICNP 2003: 246-257 - [c2]Feng Zhou, Li Zhuang, Ben Y. Zhao, Ling Huang, Anthony D. Joseph, John Kubiatowicz:
Approximate Object Location and Spam Filtering on Peer-to-Peer Systems. Middleware 2003: 1-20 - 2002
- [c1]Ben Y. Zhao, Yitao Duan, Ling Huang, Anthony D. Joseph, John Kubiatowicz:
Brocade: Landmark Routing on Overlay Networks. IPTPS 2002: 34-44
Informal and Other Publications
- 2020
- [i11]Han Zhang, Wenhao Zheng, Charley Chen, Kevin Gao, Yao Hu, Ling Huang, Wei Xu:
Modeling Heterogeneous Statistical Patterns in High-dimensional Data by Adversarial Distributions: An Unsupervised Generative Framework. CoRR abs/2012.08153 (2020) - 2018
- [i10]Shun Zheng, Peilin Yu, Lu Chen, Ling Huang, Wei Xu:
DIAG-NRE: A Deep Pattern Diagnosis Framework for Distant Supervision Neural Relation Extraction. CoRR abs/1811.02166 (2018) - 2016
- [i9]Mikhail Kazdagli, Ling Huang, Vijay Janapa Reddi, Mohit Tiwari:
EMMA: A New Platform to Evaluate Hardware-based Mobile Malware Analyses. CoRR abs/1603.03086 (2016) - 2015
- [i8]Brad Miller, Alex Kantchelian, Michael Carl Tschantz, Sadia Afroz, Rekha Bachwani, Riyaz Faizullabhoy, Ling Huang, Vaishaal Shankar, Tony Wu, George Yiu, Anthony D. Joseph, J. D. Tygar:
Back to the Future: Malware Detection with Temporally Consistent Labels. CoRR abs/1510.07338 (2015) - 2014
- [i7]Brad Miller, Ling Huang, Anthony D. Joseph, J. Doug Tygar:
I Know Why You Went to the Clinic: Risks and Realization of HTTPS Traffic Analysis. CoRR abs/1403.0297 (2014) - 2012
- [i6]Neil Zhenqiang Gong, Wenchang Xu, Ling Huang, Prateek Mittal, Emil Stefanov, Vyas Sekar, Dawn Song:
Evolution of Social-Attribute Networks: Measurements, Modeling, and Implications using Google+. CoRR abs/1209.0835 (2012) - 2011
- [i5]Neil Zhenqiang Gong, Ameet Talwalkar, Lester W. Mackey, Ling Huang, Eui Chul Richard Shin, Emil Stefanov, Elaine Shi, Dawn Song:
Predicting Links and Inferring Attributes using a Social-Attribute Network (SAN). CoRR abs/1112.3265 (2011) - 2010
- [i4]Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, Shing-hon Lau, Steven J. Lee, Satish Rao, Anthony Tran, J. D. Tygar:
Near-Optimal Evasion of Convex-Inducing Classifiers. CoRR abs/1003.2751 (2010) - [i3]Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, Steven J. Lee, Satish Rao, J. D. Tygar:
Query Strategies for Evading Convex-Inducing Classifiers. CoRR abs/1007.0484 (2010) - [i2]Byung-Gon Chun, Ling Huang, Sangmin Lee, Petros Maniatis, Mayur Naik:
Mantis: Predicting System Performance through Program Analysis and Modeling. CoRR abs/1010.0019 (2010) - 2009
- [i1]Benjamin I. P. Rubinstein, Peter L. Bartlett, Ling Huang, Nina Taft:
Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning. CoRR abs/0911.5708 (2009)
Coauthor Index
aka: J. Doug Tygar
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