Protecting Bilateral Privacy in Machine Learning-as-a-Service: A Differential Privacy Based Defense

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International Conference on Artificial Intelligence Security and Privacy (1. : 2023 : Kanton, Stadt) Artificial intelligence security and privacy ; Part 1
1. Verfasser: Wang, Le (VerfasserIn)
Weitere Verfasser: Yan, Haonan (VerfasserIn), Lin, Xiaodong (VerfasserIn), Xiong, Pulei (VerfasserIn)
Pages:1
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2024
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Deep Multi-image Hiding with Random Key 2024 Zhang, Wei
Multi-channel Deep Q-network Carrier Sense Multiple Access 2024 Pi, Xunxun
DFaP: Data Filtering and Purification Against Backdoor Attacks 2024 Wang, Haochen
A Survey of Privacy Preserving Subgraph Matching Methods 2024 Cheng, Xingjiang
Active Defense Against Image Steganography 2024 Tang, Weixuan
Strict Differentially Private Support Vector Machines with Dimensionality Reduction 2024 Wang, Teng
An Assurance Case Practice of AI-Enabled Systems on Maritime Inspection 2024 Xue, Yongjian
DZIP: A Data Deduplication-Compatible Enhanced Version of Gzip 2024 Xiao, Hengying
Adversarial Attacks Against Object Detection in Remote Sensing Images 2024 Huang, Rong
Fuzzing Drone Control System Configurations Based on Quality-Diversity Enhanced Genetic Algorithm 2024 Chang, Zhiwei
Fine-Grained Searchable Encryption Scheme Against Keyword Brute-Force Attacks 2024 Feng, Yawen
Fine-Grained Authorized Secure Deduplication with Dynamic Policy 2024 Xiao, Jixiang
An Embedded Cost Learning Framework Based on Cumulative Gradient Rewards 2024 Tang, Weixuan
Research and Implementation of EXFAT File System Reconstruction Algorithm Based on Cluster Size Assumption and Computational Verification 2024 Lu, Enming
Practical and Privacy-Preserving Decision Tree Evaluation with One Round Communication 2024 Xue, Liang
Decision Poisson: From Universal Gravitation to Offline Reinforcement Learning 2024 Cai, Heqiu
Personalized Differential Privacy in the Shuffle Model 2024 Yang, Ruilin
Electronic Voting Privacy Protection Scheme Based on Double Signature in Consortium Blockchain 2024 Xie, Wei
Converging Blockchain and Deep Learning in UAV Network Defense Strategy: Ensuring Data Security During Flight 2024 Li, Zhihao
Towards Heterogeneous Federated Learning: Analysis, Solutions, and Future Directions 2024 Lin, Yongwei
Alle Artikel auflisten