Ian M. Molloy

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 27

Top Topics

Gaussian Process

Ranking Algorithm

Top Venues

Publications

Kevin Eykholt, Taesung Lee, Douglas Lee Schales, Jiyong Jang, Ian M. Molloy, Masha Zorin
URET: Universal Robustness Evaluation Toolkit (for Evasion). CoRR (2023)
Kevin Eykholt, Taesung Lee, Douglas Lee Schales, Jiyong Jang, Ian M. Molloy, Masha Zorin
URET: Universal Robustness Evaluation Toolkit (for Evasion). USENIX Security Symposium (2023)
Kathrin Grosse, Taesung Lee, Battista Biggio, Youngja Park, Michael Backes, Ian M. Molloy
Backdoor smoothing: Demystifying backdoor attacks on deep neural networks. Comput. Secur. 120 (2022)
Shiqi Wang, Kevin Eykholt, Taesung Lee, Jiyong Jang, Ian M. Molloy
Adaptive Verifiable Training Using Pairwise Class Similarity. AAAI (2021)
Ian M. Molloy, Josyula R. Rao, Marc Ph. Stoecklin
AI vs. AI: Exploring the Intersections of AI and Cybersecurity. IWSPA@CODASPY (2021)
Heqing Huang, Cong Zheng, Junyuan Zeng, Wu Zhou, Sencun Zhu, Peng Liu, Ian M. Molloy, Suresh Chari, Ce Zhang, Quanlong Guan
A Large-Scale Study of Android Malware Development Phenomenon on Public Malware Submission and Scanning Platform. IEEE Trans. Big Data 7 (2) (2021)
Kathrin Grosse, Taesung Lee, Youngja Park, Michael Backes, Ian M. Molloy
A new measure for overfitting and its implications for backdooring of deep learning. CoRR (2020)
Nico Döttling, Kathrin Grosse, Michael Backes, Ian M. Molloy
Adversarial Examples and Metrics. CoRR (2020)
Wenjie Wang, Youngja Park, Taesung Lee, Ian M. Molloy, Pengfei Tang, Li Xiong
Utilizing Multimodal Feature Consistency to Detect Adversarial Examples on Clinical Summaries. ClinicalNLP@EMNLP (2020)
Shiqi Wang, Kevin Eykholt, Taesung Lee, Jiyong Jang, Ian M. Molloy
Adaptive Verifiable Training Using Pairwise Class Similarity. CoRR (2020)
Zhongshu Gu, Hani Jamjoom, Dong Su, Heqing Huang, Jialong Zhang, Tengfei Ma, Dimitrios Pendarakis, Ian M. Molloy
Reaching Data Confidentiality and Model Accountability on the CalTrain. DSN (2019)
Taesung Lee, Benjamin Edwards, Ian M. Molloy, Dong Su
Defending Against Neural Network Model Stealing Attacks Using Deceptive Perturbations. IEEE Symposium on Security and Privacy Workshops (2019)
Bryant Chen, Wilka Carvalho, Nathalie Baracaldo, Heiko Ludwig, Benjamin Edwards, Taesung Lee, Ian M. Molloy, Biplav Srivastava
Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering. SafeAI@AAAI (2019)
Chaowei Xiao, Ruizhi Deng, Bo Li, Taesung Lee, Benjamin Edwards, Jinfeng Yi, Dawn Song, Mingyan Liu, Ian M. Molloy
AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos. ICCV (2019)
Taesung Lee, Benjamin Edwards, Ian M. Molloy, Dong Su
Defending Against Model Stealing Attacks Using Deceptive Perturbations. CoRR (2018)
Xuejing Yuan, Yuxuan Chen, Aohui Wang, Kai Chen, Shengzhi Zhang, Heqing Huang, Ian M. Molloy
All Your Alexa Are Belong to Us: A Remote Voice Control Attack against Echo. GLOBECOM (2018)
Zhongshu Gu, Hani Jamjoom, Dong Su, Heqing Huang, Jialong Zhang, Tengfei Ma, Dimitrios Pendarakis, Ian M. Molloy
Reaching Data Confidentiality and Model Accountability on the CalTrain. CoRR (2018)
Maria-Irina Nicolae, Mathieu Sinn, Tran Ngoc Minh, Ambrish Rawat, Martin Wistuba, Valentina Zantedeschi, Ian M. Molloy, Benjamin Edwards
Adversarial Robustness Toolbox v0.2.2. CoRR (2018)
Zhongshu Gu, Heqing Huang, Jialong Zhang, Dong Su, Ankita Lamba, Dimitrios Pendarakis, Ian M. Molloy
Securing Input Data of Deep Learning Inference Systems via Partitioned Enclave Execution. CoRR (2018)
Jialong Zhang, Zhongshu Gu, Jiyong Jang, Hui Wu, Marc Ph. Stoecklin, Heqing Huang, Ian M. Molloy
Protecting Intellectual Property of Deep Neural Networks with Watermarking. AsiaCCS (2018)
Bryant Chen, Wilka Carvalho, Nathalie Baracaldo, Heiko Ludwig, Benjamin Edwards, Taesung Lee, Ian M. Molloy, Biplav Srivastava
Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering. CoRR (2018)
David Barrera, Ian M. Molloy, Heqing Huang
IDIoT: Securing the Internet of Things like it's 1994. CoRR (2017)
Weining Yang, Ninghui Li, Ian M. Molloy, Youngja Park, Suresh N. Chari
Comparing Password Ranking Algorithms on Real-World Password Datasets. ESORICS (1) (2016)
Ian M. Molloy, Suresh Chari, Ulrich Finkler, Mark Wiggerman, Coen Jonker, Ted Habeck, Youngja Park, Frank Jordens, Ron van Schaik
Graph Analytics for Real-Time Scoring of Cross-Channel Transactional Fraud. Financial Cryptography (2016)
Shandian Zhe, Yuan Qi, Youngja Park, Zenglin Xu, Ian M. Molloy, Suresh Chari
DinTucker: Scaling Up Gaussian Process Models on Large Multidimensional Arrays. AAAI (2016)
Haining Chen, Omar Chowdhury, Ninghui Li, Warut Khern-am-nuai, Suresh Chari, Ian M. Molloy, Youngja Park
Tri-Modularization of Firewall Policies. SACMAT (2016)
Suresh Chari, Ted Habeck, Ian M. Molloy, Youngja Park, Josyula R. Rao, Wilfried Teiken
A platform and analytics for usage and entitlement analytics. IBM J. Res. Dev. 60 (4) (2016)
Youngja Park, Ian M. Molloy, Suresh N. Chari, Zenglin Xu, Christopher S. Gates, Ninghui Li
Learning from Others: User Anomaly Detection Using Anomalous Samples from Other Users. ESORICS (2) (2015)
Youngja Park, Zijie Qi, Suresh N. Chari, Ian M. Molloy
PAKDD'12 best paper: generating balanced classifier-independent training samples from unlabeled data. Knowl. Inf. Syst. 41 (3) (2014)
Christopher S. Gates, Ninghui Li, Zenglin Xu, Suresh N. Chari, Ian M. Molloy, Youngja Park
Detecting Insider Information Theft Using Features from File Access Logs. ESORICS (2) (2014)
Christopher S. Gates, Ninghui Li, Hao Peng, Bhaskar Pratim Sarma, Yuan Qi, Rahul Potharaju, Cristina Nita-Rotaru, Ian M. Molloy
Generating Summary Risk Scores for Mobile Applications. IEEE Trans. Dependable Secur. Comput. 11 (3) (2014)
Shandian Zhe, Yuan Qi, Youngja Park, Ian M. Molloy, Suresh Chari
DinTucker: Scaling up Gaussian process models on multidimensional arrays with billions of elements. CoRR (2013)
Suresh Chari, Ian M. Molloy, Youngja Park, Wilfried Teiken
Ensuring continuous compliance through reconciling policy with usage. SACMAT (2013)
Ian M. Molloy, Mahesh V. Tripunitara, Volkmar Lotz, Martin Kuhlmann, Casey Schaufler, Vijay Atluri
Panel on granularity in access control. SACMAT (2013)
Suresh Chari, Ted Habeck, Ian M. Molloy, Youngja Park, Wilfried Teiken
A bigData platform for analytics on access control policies and logs. SACMAT (2013)
Ian M. Molloy, Luke Dickens, Charles Morisset, Pau-Chen Cheng, Jorge Lobo, Alessandra Russo
Risk-based security decisions under uncertainty. CODASPY (2012)
Bhaskar Pratim Sarma, Ninghui Li, Christopher S. Gates, Rahul Potharaju, Cristina Nita-Rotaru, Ian M. Molloy
Android permissions: a perspective combining risks and benefits. SACMAT (2012)
Hao Peng, Christopher S. Gates, Bhaskar Pratim Sarma, Ninghui Li, Yuan Qi, Rahul Potharaju, Cristina Nita-Rotaru, Ian M. Molloy
Using probabilistic generative models for ranking risks of Android apps. CCS (2012)
Suresh Chari, Jorge Lobo, Ian M. Molloy
Practical risk aggregation in RBAC models. SACMAT (2012)
Youngja Park, Zijie Qi, Suresh Chari, Ian M. Molloy
Generating Balanced Classifier-Independent Training Samples from Unlabeled Data. PAKDD (1) (2012)
Tiancheng Li, Ninghui Li, Jian Zhang, Ian M. Molloy
Slicing: A New Approach for Privacy Preserving Data Publishing. IEEE Trans. Knowl. Data Eng. 24 (3) (2012)
Luke Dickens, Ian M. Molloy, Jorge Lobo, Pau-Chen Cheng, Alessandra Russo
Learning Stochastic Models of Information Flow. ICDE (2012)
Ian M. Molloy, Youngja Park, Suresh Chari
Generative models for access control policies: applications to role mining over logs with attribution. SACMAT (2012)
Ian M. Molloy, Ninghui Li
Attack on the GridCode one-time password. AsiaCCS (2011)
Ian M. Molloy, Jorge Lobo, Suresh Chari
Adversaries' Holy Grail: access control analytics. BADGERS@EuroSys (2011)
Chris Giblin, Marcel Graf, Günter Karjoth, Andreas Wespi, Ian M. Molloy, Jorge Lobo, Seraphin B. Calo
Towards an integrated approach to role engineering. SafeConfig (2010)
Ian M. Molloy, Hong Chen, Tiancheng Li, Qihua Wang, Ninghui Li, Elisa Bertino, Seraphin B. Calo, Jorge Lobo
Mining Roles with Multiple Objectives. ACM Trans. Inf. Syst. Secur. 13 (4) (2010)
Ian M. Molloy, Ninghui Li, Yuan (Alan) Qi, Jorge Lobo, Luke Dickens
Mining roles with noisy data. SACMAT (2010)
Nan Ding, Yuan (Alan) Qi, Rongjing Xiang, Ian M. Molloy, Ninghui Li
Nonparametric Bayesian Matrix Factorization by Power-EP. AISTATS (2010)
Tiancheng Li, Ninghui Li, Jian Zhang, Ian M. Molloy
Slicing: A New Approach to Privacy Preserving Data Publishing CoRR (2009)
Ziqing Mao, Ninghui Li, Ian M. Molloy
Defeating Cross-Site Request Forgery Attacks with Browser-Enforced Authenticity Protection. Financial Cryptography (2009)
Ian M. Molloy, Ninghui Li, Tiancheng Li
On the (In)Security and (Im)Practicality of Outsourcing Precise Association Rule Mining. ICDM (2009)
Ian M. Molloy, Ninghui Li, Tiancheng Li, Ziqing Mao, Qihua Wang, Jorge Lobo
Evaluating role mining algorithms. SACMAT (2009)
Ian M. Molloy, Hong Chen, Tiancheng Li, Qihua Wang, Ninghui Li, Elisa Bertino, Seraphin B. Calo, Jorge Lobo
Mining roles with semantic meanings. SACMAT (2008)
Ian M. Molloy, Pau-Chen Cheng, Pankaj Rohatgi
Trading in risk: using markets to improve access control. NSPW (2008)
William R. Speirs, Ian M. Molloy
Making Large Hash Functions From Small Compression Functions. IACR Cryptol. ePrint Arch. 2007 (2007)
Ian M. Molloy
Environmental Management Systems and Information Management - Strategic-Systematical Integration of Green Value Added. ITEE (2007)
Ian M. Molloy, Tomasz F. Stepinski
Automatic mapping of valley networks on Mars. Comput. Geosci. 33 (6) (2007)
Ian M. Molloy, Jiangtao Li, Ninghui Li
Dynamic Virtual Credit Card Numbers. Financial Cryptography (2007)
Ian M. Molloy
Supply Chain Management goes RoHS - The Need to Include Compliance Related Information in the Supply Chain Information Flow. ITEE (2005)