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class:gradmsec2020s:gradmsec2020s [2020/04/20 15:02] zhangzhong [Agenda] |
class:gradmsec2020s:gradmsec2020s [2020/05/07 22:12] (current) zhangzhong [Agenda] |
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| | 4/13 | Zhong | Perfectly Privacy-Preserving AI,\\ A Survey on Collaborative Deep Learning \\ and Privacy-Preserving | {{ :class:gradmsec2020s:privacy-preserving_ai-zz-2020.4.10.pptx |Privacy-Preserving AI}} | | | | 4/13 | Zhong | Perfectly Privacy-Preserving AI,\\ A Survey on Collaborative Deep Learning \\ and Privacy-Preserving | {{ :class:gradmsec2020s:privacy-preserving_ai-zz-2020.4.10.pptx |Privacy-Preserving AI}} | | | ||
| | 4/20 | Jafar | Privacy-Preserving Deep Learning | {{ :class:gradmsec2020s:privacy-preserving_dl-abbas.pptx |Privacy-Preserving DL}} | | | | 4/20 | Jafar | Privacy-Preserving Deep Learning | {{ :class:gradmsec2020s:privacy-preserving_dl-abbas.pptx |Privacy-Preserving DL}} | | | ||
| - | | 4/27 | Girum | | | | | + | | 4/27 | Girum | Privacy-Preserving Scoring of Tree Ensembles: \\ A Novel Framework for AI in Healthcare | | | |
| - | | 5/4 | Zhong | | | | | + | | 5/4 | Zhong | FlowIntent: Detecting Privacy Leakage from \\ User Intention to Network Traffic Mapping | | | |
| - | | 5/11 | Jafar | | | | | + | | 5/11 | Jafar | A Hybrid Deep Learning Architecture for \\ Privacy-Preserving Mobile Analytics | | | |
| - | | 5/18 | Girum | | | | | + | | 5/18 | Girum | AutoPer: Automatic Recommender for \\ Runtime-Permission in Android Applications | | | |
| - | | 5/25 | | | | | | + | | 5/25 | Zhong | Deep Models Under the GAN Information Leakage from \\ Collaborative Deep Learning | | | |
| | 5/? | | | | | | | 5/? | | | | | | ||
| | 5/?? | | | | | | | 5/?? | | | | | | ||
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| - {{ :class:gradmsec2020s:01-privacy_preserving_in_blockchain_based_on_partial_homomorphic_encryption_system_for_ai_applications.pdf | Privacy Preserving in Blockchain based on Partial Homomorphic Encryption System for AI Applications}} | - {{ :class:gradmsec2020s:01-privacy_preserving_in_blockchain_based_on_partial_homomorphic_encryption_system_for_ai_applications.pdf | Privacy Preserving in Blockchain based on Partial Homomorphic Encryption System for AI Applications}} | ||
| - <fc red>(Taken by zz)</fc> {{ :class:gradmsec2020s:02-a_survey_on_collaborative_deep_learning_and_privacy-preserving.pdf |A Survey on Collaborative Deep Learning and Privacy-Preserving}} | - <fc red>(Taken by zz)</fc> {{ :class:gradmsec2020s:02-a_survey_on_collaborative_deep_learning_and_privacy-preserving.pdf |A Survey on Collaborative Deep Learning and Privacy-Preserving}} | ||
| - | * {{ :class:gradmsec2020s:02.2-deep_models_under_the_gan_information_leakage_from_collaborative_deep_learning.pdf |Deep Models Under the GAN Information Leakage from Collaborative Deep Learning}} | + | * <fc red>(Taken by zz)</fc>{{ :class:gradmsec2020s:02.2-deep_models_under_the_gan_information_leakage_from_collaborative_deep_learning.pdf |Deep Models Under the GAN Information Leakage from Collaborative Deep Learning}} |
| - {{ :class:gradmsec2020s:03-membership_inference_attacks_against_machine_learning_models.pdf |Membership inference attacks against machine learning models}} | - {{ :class:gradmsec2020s:03-membership_inference_attacks_against_machine_learning_models.pdf |Membership inference attacks against machine learning models}} | ||
| - <fc red>(Taken by Jafar)</fc>{{ :class:gradmsec2020s:04-privacy-preserving_deep_learning.pdf |Privacy-Preserving Deep Learning}} | - <fc red>(Taken by Jafar)</fc>{{ :class:gradmsec2020s:04-privacy-preserving_deep_learning.pdf |Privacy-Preserving Deep Learning}} | ||
| Line 107: | Line 107: | ||
| **Privacy-preserving approach using machine learning:** | **Privacy-preserving approach using machine learning:** | ||
| - | - {{ :class:gradmsec2020s:08-_a_hybrid_deep_learning_architecture_for_privacy-preserving_mobile_analytics.pdf |A hybrid deep learning architecture for privacy-preserving mobile analytics}} | + | - <fc red>(Taken by Jafar)</fc>{{ :class:gradmsec2020s:08-_a_hybrid_deep_learning_architecture_for_privacy-preserving_mobile_analytics.pdf |A hybrid deep learning architecture for privacy-preserving mobile analytics}} |
| - {{ :class:gradmsec2020s:09-a_machine-learning_based_approach_to_privacy-aware_information-sharing_in_mobile_social_networks.pdf |A machine-learning based approach to privacy-aware information-sharing in mobile social networks}} | - {{ :class:gradmsec2020s:09-a_machine-learning_based_approach_to_privacy-aware_information-sharing_in_mobile_social_networks.pdf |A machine-learning based approach to privacy-aware information-sharing in mobile social networks}} | ||
| - {{ :class:gradmsec2020s:10-the_feasibility_of_dynamically_granted_permissions_aligning_mobile_privacy_with_user_preferences.pdf |The feasibility of dynamically granted permissions: Aligning mobile privacy with user preferences}} | - {{ :class:gradmsec2020s:10-the_feasibility_of_dynamically_granted_permissions_aligning_mobile_privacy_with_user_preferences.pdf |The feasibility of dynamically granted permissions: Aligning mobile privacy with user preferences}} | ||
| Line 113: | Line 113: | ||
| - {{ :class:gradmsec2020s:12-smarper_context-aware_and_automatic_runtime-permissions_for_mobile_devices.pdf |SmarPer: Context-Aware and Automatic Runtime-Permissions for Mobile Devices}} | - {{ :class:gradmsec2020s:12-smarper_context-aware_and_automatic_runtime-permissions_for_mobile_devices.pdf |SmarPer: Context-Aware and Automatic Runtime-Permissions for Mobile Devices}} | ||
| - {{ :class:gradmsec2020s:13-conxsense_automated_context_classification_for_context-aware_access_control.pdf |ConXsense – Automated Context Classification for Context-Aware Access Control}} | - {{ :class:gradmsec2020s:13-conxsense_automated_context_classification_for_context-aware_access_control.pdf |ConXsense – Automated Context Classification for Context-Aware Access Control}} | ||
| - | - {{ :class:gradmsec2020s:14-flowintent_detecting_privacy_leakage_from_user_intention_to_network_traffic_mapping.pdf |FlowIntent: Detecting Privacy Leakage from User Intention to Network Traffic Mapping}} | + | - <fc red>(Taken by zz)</fc>{{ :class:gradmsec2020s:14-flowintent_detecting_privacy_leakage_from_user_intention_to_network_traffic_mapping.pdf |FlowIntent: Detecting Privacy Leakage from User Intention to Network Traffic Mapping}} |
| - | - {{ :class:gradmsec2020s:15-autoper_automatic_recommender_for_runtime-permission_in_android_applications.pdf |AutoPer: Automatic Recommender for Runtime-Permission in Android Applications}} | + | - <fc red>(Taken by Ejigu)</fc>{{ :class:gradmsec2020s:15-autoper_automatic_recommender_for_runtime-permission_in_android_applications.pdf |AutoPer: Automatic Recommender for Runtime-Permission in Android Applications}} |
| - {{ :class:gradmsec2020s:16-contextualizing_privacy_decisionsfor_better_prediction.pdf |Contextualizing Privacy Decisionsfor Better Prediction (and Protection)}} | - {{ :class:gradmsec2020s:16-contextualizing_privacy_decisionsfor_better_prediction.pdf |Contextualizing Privacy Decisionsfor Better Prediction (and Protection)}} | ||
| - {{ :class:gradmsec2020s:17-_keeping_context_in_mind_automating_mobile_app_access_control_with_user_interface_inspection.pdf |Keeping Context In Mind: Automating Mobile App Access Control with User Interface Inspection}} | - {{ :class:gradmsec2020s:17-_keeping_context_in_mind_automating_mobile_app_access_control_with_user_interface_inspection.pdf |Keeping Context In Mind: Automating Mobile App Access Control with User Interface Inspection}} | ||
class/gradmsec2020s/gradmsec2020s.1587362574.txt.gz · Last modified: 2020/04/20 15:02 by zhangzhong · [Old revisions]
