Supply Chain Management goes RoHS - The Need to Include Compliance Related Information in the Supply Chain Information Flow. - Ian M. Molloy (ITEE, 2005)

Dynamic Virtual Credit Card Numbers. - Ian M. Molloy; Jiangtao Li 001; Ninghui Li (Financial Cryptography, 2007)

Environmental Management Systems and Information Management - Strategic-Systematical Integration of Green Value Added. - Ian M. Molloy (ITEE, 2007)

Automatic mapping of valley networks on Mars. - Ian M. Molloy; Tomasz F. Stepinski (Comput. Geosci., 2007)

Making Large Hash Functions From Small Compression Functions. - William R. Speirs II; Ian M. Molloy (IACR Cryptol. ePrint Arch., 2007)

Trading in risk: using markets to improve access control. - Ian M. Molloy; Pau-Chen Cheng; Pankaj Rohatgi (NSPW, 2008)

Mining roles with semantic meanings. - Ian M. Molloy; Hong Chen; Tiancheng Li; Qihua Wang; Ninghui Li; Elisa Bertino; Seraphin B. Calo; Jorge Lobo 001 (SACMAT, 2008)

Defeating Cross-Site Request Forgery Attacks with Browser-Enforced Authenticity Protection. - Ziqing Mao; Ninghui Li; Ian M. Molloy (Financial Cryptography, 2009)

On the (In)Security and (Im)Practicality of Outsourcing Precise Association Rule Mining. - Ian M. Molloy; Ninghui Li; Tiancheng Li (ICDM, 2009)

Evaluating role mining algorithms. - Ian M. Molloy; Ninghui Li; Tiancheng Li; Ziqing Mao; Qihua Wang; Jorge Lobo 001 (SACMAT, 2009)

Slicing: A New Approach to Privacy Preserving Data Publishing - Tiancheng Li; Ninghui Li; Jian Zhang 003; Ian M. Molloy (CoRR, 2009)

Mining roles with noisy data. - Ian M. Molloy; Ninghui Li; Yuan (Alan) Qi; Jorge Lobo 001; Luke Dickens (SACMAT, 2010)

Towards an integrated approach to role engineering. - Chris Giblin; Marcel Graf; Günter Karjoth; Andreas Wespi; Ian M. Molloy; Jorge Lobo 001; Seraphin B. Calo (SafeConfig, 2010)

Nonparametric Bayesian Matrix Factorization by Power-EP. - Nan Ding 002; Yuan (Alan) Qi; Rongjing Xiang; Ian M. Molloy; Ninghui Li (AISTATS, 2010)

Mining Roles with Multiple Objectives. - Ian M. Molloy; Hong Chen; Tiancheng Li; Qihua Wang; Ninghui Li; Elisa Bertino; Seraphin B. Calo; Jorge Lobo 001 (ACM Trans. Inf. Syst. Secur., 2010)

Automatic migration to role based access control - Ian M. Molloy (2010)

Adversaries' Holy Grail: access control analytics. - Ian M. Molloy; Jorge Lobo 001; Suresh Chari (BADGERS@EuroSys, 2011)

Attack on the GridCode one-time password. - Ian M. Molloy; Ninghui Li (AsiaCCS, 2011)

Using probabilistic generative models for ranking risks of Android apps. - Hao Peng; Christopher S. Gates; Bhaskar Pratim Sarma; Ninghui Li; Yuan Qi 001; Rahul Potharaju; Cristina Nita-Rotaru; Ian M. Molloy (CCS, 2012)

Risk-based security decisions under uncertainty. - Ian M. Molloy; Luke Dickens; Charles Morisset; Pau-Chen Cheng; Jorge Lobo 001; Alessandra Russo (CODASPY, 2012)

Learning Stochastic Models of Information Flow. - Luke Dickens; Ian M. Molloy; Jorge Lobo 001; Pau-Chen Cheng; Alessandra Russo (ICDE, 2012)

Generating Balanced Classifier-Independent Training Samples from Unlabeled Data. - Youngja Park; Zijie Qi; Suresh Chari; Ian M. Molloy (PAKDD (1), 2012)

Practical risk aggregation in RBAC models. - Suresh Chari; Jorge Lobo 001; Ian M. Molloy (SACMAT, 2012)

Generative models for access control policies: applications to role mining over logs with attribution. - Ian M. Molloy; Youngja Park; Suresh Chari (SACMAT, 2012)

Android permissions: a perspective combining risks and benefits. - Bhaskar Pratim Sarma; Ninghui Li; Christopher S. Gates; Rahul Potharaju; Cristina Nita-Rotaru; Ian M. Molloy (SACMAT, 2012)

Slicing: A New Approach for Privacy Preserving Data Publishing. - Tiancheng Li; Ninghui Li; Jian Zhang 003; Ian M. Molloy (IEEE Trans. Knowl. Data Eng., 2012)

A bigData platform for analytics on access control policies and logs. - Suresh Chari; Ted Habeck; Ian M. Molloy; Youngja Park; Wilfried Teiken (SACMAT, 2013)

Ensuring continuous compliance through reconciling policy with usage. - Suresh Chari; Ian M. Molloy; Youngja Park; Wilfried Teiken (SACMAT, 2013)

Panel on granularity in access control. - Ian M. Molloy; Mahesh V. Tripunitara; Volkmar Lotz; Martin Kuhlmann; Casey Schaufler; Vijay Atluri (SACMAT, 2013)

DinTucker: Scaling up Gaussian process models on multidimensional arrays with billions of elements. - Shandian Zhe; Yuan Qi 001; Youngja Park; Ian M. Molloy; Suresh Chari (CoRR, 2013)

Detecting Insider Information Theft Using Features from File Access Logs. - Christopher S. Gates; Ninghui Li; Zenglin Xu; Suresh N. Chari; Ian M. Molloy; Youngja Park (ESORICS (2), 2014)

PAKDD'12 best paper: generating balanced classifier-independent training samples from unlabeled data. - Youngja Park; Zijie Qi; Suresh N. Chari; Ian M. Molloy (Knowl. Inf. Syst., 2014)

Generating Summary Risk Scores for Mobile Applications. - Christopher S. Gates; Ninghui Li; Hao Peng; Bhaskar Pratim Sarma; Yuan Qi 001; Rahul Potharaju; Cristina Nita-Rotaru; Ian M. Molloy (IEEE Trans. Dependable Secur. Comput., 2014)

Learning from Others: User Anomaly Detection Using Anomalous Samples from Other Users. - Youngja Park; Ian M. Molloy; Suresh N. Chari; Zenglin Xu; Christopher S. Gates; Ninghui Li (ESORICS (2), 2015)

DinTucker: Scaling Up Gaussian Process Models on Large Multidimensional Arrays. - Shandian Zhe; Yuan Qi 001; Youngja Park; Zenglin Xu; Ian M. Molloy; Suresh Chari (AAAI, 2016)

Comparing Password Ranking Algorithms on Real-World Password Datasets. - Weining Yang; Ninghui Li; Ian M. Molloy; Youngja Park; Suresh N. Chari (ESORICS (1), 2016)

Graph Analytics for Real-Time Scoring of Cross-Channel Transactional Fraud. - Ian M. Molloy; Suresh Chari; Ulrich Finkler; Mark Wiggerman; Coen Jonker; Ted Habeck; Youngja Park; Frank Jordens; Ron van Schaik (Financial Cryptography, 2016)

Tri-Modularization of Firewall Policies. - Haining Chen; Omar Chowdhury; Ninghui Li; Warut Khern-am-nuai; Suresh Chari; Ian M. Molloy; Youngja Park (SACMAT, 2016)

A platform and analytics for usage and entitlement analytics. - Suresh Chari; Ted Habeck; Ian M. Molloy; Youngja Park; Josyula R. Rao; Wilfried Teiken (IBM J. Res. Dev., 2016)

IDIoT: Securing the Internet of Things like it's 1994. - David Barrera 003; Ian M. Molloy; Heqing Huang 001 (CoRR, 2017)

Protecting Intellectual Property of Deep Neural Networks with Watermarking. - Jialong Zhang 001; Zhongshu Gu; Jiyong Jang; Hui Wu 006; Marc Ph. Stoecklin; Heqing Huang 001; Ian M. Molloy (AsiaCCS, 2018)

All Your Alexa Are Belong to Us: A Remote Voice Control Attack against Echo. - Xuejing Yuan; Yuxuan Chen; Aohui Wang; Kai Chen 012; Shengzhi Zhang; Heqing Huang 001; Ian M. Molloy (GLOBECOM, 2018)

Defending Against Model Stealing Attacks Using Deceptive Perturbations. - Taesung Lee; Benjamin Edwards; Ian M. Molloy; Dong Su (CoRR, 2018)

Securing Input Data of Deep Learning Inference Systems via Partitioned Enclave Execution. - Zhongshu Gu; Heqing Huang 001; Jialong Zhang 001; Dong Su; Ankita Lamba; Dimitrios Pendarakis; Ian M. Molloy (CoRR, 2018)

Adversarial Robustness Toolbox v0.2.2. - Maria-Irina Nicolae; Mathieu Sinn; Tran Ngoc Minh; Ambrish Rawat; Martin Wistuba; Valentina Zantedeschi; Ian M. Molloy; Benjamin Edwards (CoRR, 2018)

Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering. - Bryant Chen; Wilka Carvalho; Nathalie Baracaldo; Heiko Ludwig; Benjamin Edwards; Taesung Lee; Ian M. Molloy; Biplav Srivastava (SafeAI@AAAI, 2019)

Reaching Data Confidentiality and Model Accountability on the CalTrain. - Zhongshu Gu; Hani Jamjoom; Dong Su; Heqing Huang 001; Jialong Zhang 001; Tengfei Ma 001; Dimitrios Pendarakis; Ian M. Molloy (DSN, 2019)

AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos. - Chaowei Xiao; Ruizhi Deng; Bo Li 026; Taesung Lee; Benjamin Edwards; Jinfeng Yi; Dawn Song; Mingyan Liu; Ian M. Molloy (ICCV, 2019)

Defending Against Neural Network Model Stealing Attacks Using Deceptive Perturbations. - Taesung Lee; Benjamin Edwards; Ian M. Molloy; Dong Su (IEEE Symposium on Security and Privacy Workshops, 2019)

Utilizing Multimodal Feature Consistency to Detect Adversarial Examples on Clinical Summaries. - Wenjie Wang 008; Youngja Park; Taesung Lee; Ian M. Molloy; Pengfei Tang; Li Xiong 001 (ClinicalNLP@EMNLP, 2020)

A new measure for overfitting and its implications for backdooring of deep learning. - Kathrin Grosse; Taesung Lee; Youngja Park; Michael Backes 001; Ian M. Molloy (CoRR, 2020)

Adversarial Examples and Metrics. - Nico Döttling; Kathrin Grosse; Michael Backes 001; Ian M. Molloy (CoRR, 2020)

Adaptive Verifiable Training Using Pairwise Class Similarity. - Shiqi Wang 002; Kevin Eykholt; Taesung Lee; Jiyong Jang; Ian M. Molloy (AAAI, 2021)

AI vs. AI: Exploring the Intersections of AI and Cybersecurity. - Ian M. Molloy; Josyula R. Rao; Marc Ph. Stoecklin (IWSPA@CODASPY, 2021)

A Large-Scale Study of Android Malware Development Phenomenon on Public Malware Submission and Scanning Platform. - Heqing Huang 001; Cong Zheng; Junyuan Zeng; Wu Zhou; Sencun Zhu; Peng Liu 005; Ian M. Molloy; Suresh Chari; Ce Zhang 001; Quanlong Guan (IEEE Trans. Big Data, 2021)

Backdoor smoothing: Demystifying backdoor attacks on deep neural networks. - Kathrin Grosse; Taesung Lee; Battista Biggio; Youngja Park; Michael Backes 001; Ian M. Molloy (Comput. Secur., 2022)

URET: Universal Robustness Evaluation Toolkit (for Evasion). - Kevin Eykholt; Taesung Lee; Douglas Lee Schales; Jiyong Jang; Ian M. Molloy; Masha Zorin (USENIX Security Symposium, 2023)