Protecting Intellectual Property of Deep Neural Networks with Watermarking

Jialong Zhang, Zhongshu Gu, Jiyong Jang, +4

Artificial IntelligenceEngineeringMachine LearningAi FoundationAi Safety +18

Using probabilistic generative models for ranking risks of Android apps

Hao Peng, Chris Gates, Bhaskar Sarma, +5

Mobile SecurityEngineeringUsable SecurityInformation SecurityRisk Communication Mechanism +16

Slicing: A New Approach for Privacy Preserving Data Publishing

Tiancheng Li, Ninghui Li, Jian Zhang, +1

IEEE Transactions on Knowledge and Data Engineering

Privacy ProtectionEngineeringInformation SecurityPseudonymizationData Science +16

Android permissions

Bhaskar Sarma, Ninghui Li, Chris Gates, +3

Mobile SecuritySoftware SecurityEngineeringInformation SecurityAndroid Platform +7

Detecting Backdoor Attacks on Deep Neural Networks by Activation\n Clustering

Bryant Chen, Wilka Carvalho, Nathalie Baracaldo, +5

arXiv (Cornell University)

Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering

Bryant Chen, Wilka Carvalho, Nathalie Baracaldo, +5

arXiv (Cornell University)

Hardware SecurityEngineeringMachine LearningData ScienceEvasion Technique +13

Mining roles with semantic meanings

Ian Molloy, Hong Chen, Tiancheng Li, +5

Semantic Role LabelingEngineeringBusiness IntelligenceInformation SecuritySemantics +23

Evaluating role mining algorithms

Ian Molloy, Ninghui Li, Tiancheng Li, +3

EngineeringMachine LearningComputer AnalysisBusiness IntelligencePattern Mining +17

Mining Roles with Multiple Objectives

Ian Molloy, Hong Chen, Tiancheng Li, +5

ACM Transactions on Information and System Security

EngineeringBusiness IntelligenceInformation SecurityProject ManagementDecision Analysis +23

Defending Against Neural Network Model Stealing Attacks Using Deceptive Perturbations

Taesung Lee, Ben Edwards, Ian Molloy, +1

Privacy ProtectionEngineeringMachine LearningEvasion TechniqueInformation Security +16