Ling Huang - RankMe

63 papers A* 11A 7B 4Journal 20Unranked 21

Year	Rank	Type	Title / Venue / Authors
2020	A*	`conf`	FDHelper: Assist Unsupervised Fraud Detection Experts with Interactive Feature Selection and Evaluation. CHI Jiao Sun, Yin Li, Charley Chen, Jihae Lee, Xin Liu, Zhongping Zhang, Ling Huang, Lei Shi, Wei Xu
2020	A*	`conf`	Modeling Heterogeneous Statistical Patterns in High-dimensional Data by Adversarial Distributions: An Unsupervised Generative Framework. WWW Han Zhang, Wenhao Zheng, Charley Chen, Kevin Gao, Yao Hu, Ling Huang, Wei Xu
2020	J	`jnl`	Modeling Heterogeneous Statistical Patterns in High-dimensional Data by Adversarial Distributions: An Unsupervised Generative Framework. CoRR Han Zhang, Wenhao Zheng, Charley Chen, Kevin Gao, Yao Hu, Ling Huang, Wei Xu
2019	—	`conf`	DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction. ACL (1) Shun Zheng, Xu Han, Yankai Lin, Peilin Yu, Lu Chen, Ling Huang, Zhiyuan Liu, Wei Xu
2019	A*	`conf`	No Place to Hide: Catching Fraudulent Entities in Tensors. WWW Yikun Ban, Xin Liu, Ling Huang, Yitao Duan, Xue Liu, Wei Xu
2018	J	`jnl`	DIAG-NRE: A Deep Pattern Diagnosis Framework for Distant Supervision Neural Relation Extraction. CoRR Shun Zheng, Peilin Yu, Lu Chen, Ling Huang, Wei Xu
2018	A*	`conf`	Do Not Pull My Data for Resale: Protecting Data Providers Using Data Retrieval Pattern Analysis. SIGIR Guosai Wang, Shiyang Xiang, Yitao Duan, Ling Huang, Wei Xu
2018	B	`conf`	FraudVis: Understanding Unsupervised Fraud Detection Algorithms. PacificVis Jiao Sun, Qixin Zhu, Zhifei Liu, Xin Liu, Jihae Lee, Zhigang Su, Lei Shi, Ling Huang, Wei Xu
2016	A*	`conf`	CloudKeyBank: Privacy and owner authorization enforced key management framework. ICDE Xiuxia Tian, Ling Huang, Tony Wu, Xiaoling Wang, Aoying Zhou
2016	J	`jnl`	EMMA: A New Platform to Evaluate Hardware-based Mobile Malware Analyses. CoRR Mikhail Kazdagli, Ling Huang, Vijay Janapa Reddi, Mohit Tiwari
2016	B	`conf`	Reviewer Integration and Performance Measurement for Malware Detection. DIMVA 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
2015	J	`jnl`	Back to the Future: Malware Detection with Temporally Consistent Labels. CoRR 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
2015	J	`jnl`	CloudKeyBank: Privacy and Owner Authorization Enforced Key Management Framework. IEEE Trans. Knowl. Data Eng. Xiuxia Tian, Ling Huang, Tony Wu, Xiaoling Wang, Aoying Zhou
2015	J	`jnl`	DualAcE: fine-grained dual access control enforcement with multi-privacy guarantee in DaaS. Secur. Commun. Networks Xiuxia Tian, Ling Huang, Yong Wang, Chaofeng Sha, Xiaoling Wang
2015	J	`jnl`	Mantis: Efficient Predictions of Execution Time, Energy Usage, Memory Usage and Network Usage on Smart Mobile Devices. IEEE Trans. Mob. Comput. Yongin Kwon, Sangmin Lee, Hayoon Yi, Donghyun Kwon, Seungjun Yang, Byung-Gon Chun, Ling Huang, Petros Maniatis, Mayur Naik, Yunheung Paek
2015	J	`jnl`	What You Submit Is Who You Are: A Multimodal Approach for Deanonymizing Scientific Publications. IEEE Trans. Inf. Forensics Secur. Mathias Payer, Ling Huang, Neil Zhenqiang Gong, Kevin Borgolte, Mario Frank
2014	—	`conf`	Adversarial Active Learning. AISec@CCS Brad Miller, Alex Kantchelian, Sadia Afroz, Rekha Bachwani, Edwin Dauber, Ling Huang, Michael Carl Tschantz, Anthony D. Joseph, J. Doug Tygar
2014	A	`conf`	I Know Why You Went to the Clinic: Risks and Realization of HTTPS Traffic Analysis. Privacy Enhancing Technologies Brad Miller, Ling Huang, Anthony D. Joseph, J. D. Tygar
2014	J	`jnl`	I Know Why You Went to the Clinic: Risks and Realization of HTTPS Traffic Analysis. CoRR Brad Miller, Ling Huang, Anthony D. Joseph, J. Doug Tygar
2014	J	`jnl`	Joint Link Prediction and Attribute Inference Using a Social-Attribute Network. ACM Trans. Intell. Syst. Technol. Neil Zhenqiang Gong, Ameet Talwalkar, Lester W. Mackey, Ling Huang, Eui Chul Richard Shin, Emil Stefanov, Elaine Shi, Dawn Song
2014	—	`conf`	Large-Margin Convex Polytope Machine. NIPS Alex Kantchelian, Michael Carl Tschantz, Ling Huang, Peter L. Bartlett, Anthony D. Joseph, J. Doug Tygar
2014	—	`conf`	Morpheus: benchmarking computational diversity in mobile malware. HASP@ISCA Mikhail Kazdagli, Ling Huang, Vijay Janapa Reddi, Mohit Tiwari
2013	—	`conf`	Approaches to adversarial drift. AISec Alex Kantchelian, Sadia Afroz, Ling Huang, Aylin Caliskan Islam, Brad Miller, Michael Carl Tschantz, Rachel Greenstadt, Anthony D. Joseph, J. D. Tygar
2013	—	`conf`	Mantis: Automatic Performance Prediction for Smartphone Applications. USENIX ATC Yongin Kwon, Sangmin Lee, Hayoon Yi, Donghyun Kwon, Seungjun Yang, Byung-Gon Chun, Ling Huang, Petros Maniatis, Mayur Naik, Yunheung Paek
2013	—	`conf`	SAFE: Secure authentication with Face and Eyes. PRISMS Arman Boehm, Dongqu Chen, Mario Frank, Ling Huang, Cynthia Kuo, Tihomir Lolic, Ivan Martinovic, Dawn Song
2012	J	`jnl`	Evolution of Social-Attribute Networks: Measurements, Modeling, and Implications using Google+ CoRR Neil Zhenqiang Gong, Wenchang Xu, Ling Huang, Prateek Mittal, Emil Stefanov, Vyas Sekar, Dawn Song
2012	A	`conf`	Evolution of social-attribute networks: measurements, modeling, and implications using google+. Internet Measurement Conference Neil Zhenqiang Gong, Wenchang Xu, Ling Huang, Prateek Mittal, Emil Stefanov, Vyas Sekar, Dawn Song
2012	B	`conf`	Juxtapp: A Scalable System for Detecting Code Reuse among Android Applications. DIMVA Steve Hanna, Ling Huang, Edward XueJun Wu, Saung Li, Charles Chen, Dawn Song
2012	J	`jnl`	Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning. J. Priv. Confidentiality Benjamin I. P. Rubinstein, Peter L. Bartlett, Ling Huang, Nina Taft
2012	J	`jnl`	Query Strategies for Evading Convex-Inducing Classifiers. J. Mach. Learn. Res. Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, Steven J. Lee, Satish Rao, J. D. Tygar
2012	—	`conf`	Robust detection of comment spam using entropy rate. AISec Alex Kantchelian, Justin Ma, Ling Huang, Sadia Afroz, Anthony D. Joseph, J. D. Tygar
2012	—	`conf`	Short paper: smartphones: not smart enough? SPSM@CCS Ian Timothy Fischer, Cynthia Kuo, Ling Huang, Mario Frank
2011	—	`conf`	Adversarial machine learning. AISec Ling Huang, Anthony D. Joseph, Blaine Nelson, Benjamin I. P. Rubinstein, J. D. Tygar
2011	J	`jnl`	Predicting Links and Inferring Attributes using a Social-Attribute Network (SAN) CoRR Neil Zhenqiang Gong, Ameet Talwalkar, Lester W. Mackey, Ling Huang, Eui Chul Richard Shin, Emil Stefanov, Elaine Shi, Dawn Song
2010	A*	`conf`	An Analysis of the Convergence of Graph Laplacians. ICML Daniel Ting, Ling Huang, Michael I. Jordan
2010	—	`conf`	Classifier Evasion: Models and Open Problems. PSDML Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, J. D. Tygar
2010	A*	`conf`	Detecting Large-Scale System Problems by Mining Console Logs. ICML Wei Xu, Ling Huang, Armando Fox, David A. Patterson, Michael I. Jordan
2010	—	`conf`	Experience Mining Google's Production Console Logs. SLAML Wei Xu, Ling Huang, Michael I. Jordan
2010	J	`jnl`	Mantis: Predicting System Performance through Program Analysis and Modeling CoRR Byung-Gon Chun, Ling Huang, Sangmin Lee, Petros Maniatis, Mayur Naik
2010	J	`jnl`	Near-Optimal Evasion of Convex-Inducing Classifiers CoRR Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, Shing-Hon Lau, Steven J. Lee, Satish Rao, Anthony Tran, J. D. Tygar
2010	A	`conf`	Near-Optimal Evasion of Convex-Inducing Classifiers. AISTATS Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, Shing-Hon Lau, Steven J. Lee, Satish Rao, Anthony Tran, J. Doug Tygar
2010	—	`conf`	Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression. NIPS Ling Huang, Jinzhu Jia, Bin Yu, Byung-Gon Chun, Petros Maniatis, Mayur Naik
2010	J	`jnl`	Query Strategies for Evading Convex-Inducing Classifiers CoRR Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, Steven J. Lee, Satish Rao, J. D. Tygar
2009	A	`conf`	ANTIDOTE: understanding and defending against poisoning of anomaly detectors. Internet Measurement Conference Benjamin I. P. Rubinstein, Blaine Nelson, Ling Huang, Anthony D. Joseph, Shing-Hon Lau, Satish Rao, Nina Taft, J. D. Tygar
2009	A*	`conf`	Detecting large-scale system problems by mining console logs. SOSP Wei Xu, Ling Huang, Armando Fox, David A. Patterson, Michael I. Jordan
2009	A*	`conf`	Fast approximate spectral clustering. KDD Donghui Yan, Ling Huang, Michael I. Jordan
2009	—	`conf`	Impact of IT monoculture on behavioral end host intrusion detection. WREN Dhiman Barman, Jaideep Chandrashekar, Nina Taft, Michalis Faloutsos, Ling Huang, Frédéric Giroire
2009	J	`jnl`	Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning CoRR Benjamin I. P. Rubinstein, Peter L. Bartlett, Ling Huang, Nina Taft
2009	A*	`conf`	Online System Problem Detection by Mining Patterns of Console Logs. ICDM Wei Xu, Ling Huang, Armando Fox, David A. Patterson, Michael I. Jordan
2009	J	`jnl`	Stealthy poisoning attacks on PCA-based anomaly detectors. SIGMETRICS Perform. Evaluation Rev. Benjamin I. P. Rubinstein, Blaine Nelson, Ling Huang, Anthony D. Joseph, Shing-Hon Lau, Satish Rao, Nina Taft, J. D. Tygar
2008	A	`conf`	Evading Anomaly Detection through Variance Injection Attacks on PCA. RAID Benjamin I. P. Rubinstein, Blaine Nelson, Ling Huang, Anthony D. Joseph, Shing-Hon Lau, Nina Taft, J. Doug Tygar
2008	—	`conf`	Mining Console Logs for Large-Scale System Problem Detection. SysML Wei Xu, Ling Huang, Armando Fox, David A. Patterson, Michael I. Jordan
2008	—	`conf`	Spectral Clustering with Perturbed Data. NIPS Ling Huang, Donghui Yan, Michael I. Jordan, Nina Taft
2008	—	`conf`	Support Vector Machines, Data Reduction, and Approximate Kernel Matrices. ECML/PKDD (2) XuanLong Nguyen, Ling Huang, Anthony D. Joseph
2007	A*	`conf`	Communication-Efficient Online Detection of Network-Wide Anomalies. INFOCOM Ling Huang, XuanLong Nguyen, Minos N. Garofalakis, Joseph M. Hellerstein, Michael I. Jordan, Anthony D. Joseph, Nina Taft
2007	A	`conf`	Communication-Efficient Tracking of Distributed Cumulative Triggers. ICDCS Ling Huang, Minos N. Garofalakis, Anthony D. Joseph, Nina Taft
2006	—	`conf`	In-Network PCA and Anomaly Detection. NIPS Ling Huang, XuanLong Nguyen, Minos N. Garofalakis, Michael I. Jordan, Anthony D. Joseph, Nina Taft
2006	—	`conf`	Toward sophisticated detection with distributed triggers. MineNet Ling Huang, Minos N. Garofalakis, Joseph M. Hellerstein, Anthony D. Joseph, Nina Taft
2004	—	`conf`	Rapid Mobility via Type Indirection. IPTPS Ben Y. Zhao, Ling Huang, Anthony D. Joseph, John Kubiatowicz
2004	J	`jnl`	Tapestry: a resilient global-scale overlay for service deployment. IEEE J. Sel. Areas Commun. Ben Y. Zhao, Ling Huang, Jeremy Stribling, Sean C. Rhea, Anthony D. Joseph, John Kubiatowicz
2003	A	`conf`	Approximate Object Location and Spam Filtering on Peer-to-Peer Systems. Middleware Feng Zhou, Li Zhuang, Ben Y. Zhao, Ling Huang, Anthony D. Joseph, John Kubiatowicz
2003	B	`conf`	Exploiting Routing Redundancy via Structured Peer-to-Peer Overlays. ICNP Ben Y. Zhao, Ling Huang, Jeremy Stribling, Anthony D. Joseph, John Kubiatowicz
2002	—	`conf`	Brocade: Landmark Routing on Overlay Networks. IPTPS Ben Y. Zhao, Yitao Duan, Ling Huang, Anthony D. Joseph, John Kubiatowicz