PARL: Poisoning Attacks Against Reinforcement Learning-based Recommender Systems
Recommender systems predict and suggest relevant options to users in various domains,
such as e-commerce, streaming services, and social media. Recently, deep reinforcement …
such as e-commerce, streaming services, and social media. Recently, deep reinforcement …
" What do you want from theory alone?" Experimenting with Tight Auditing of Differentially Private Synthetic Data Generation
Differentially private synthetic data generation (DP-SDG) algorithms are used to release
datasets that are structurally and statistically similar to sensitive data while providing formal …
datasets that are structurally and statistically similar to sensitive data while providing formal …
Mitigating and Understanding the Security and Privacy Risks in AI Systems
R Zhu - 2024 - search.proquest.com
The rapid advancement of AI technologies has brought forth significant security and privacy
challenges, affecting various sectors including healthcare, finance, and autonomous …
challenges, affecting various sectors including healthcare, finance, and autonomous …
Towards privacy-preserving machine learning: generative modeling and discriminative analysis
D Chen - 2023 - publikationen.sulb.uni-saarland.de
The digital era is characterized by the widespread availability of rich data, which has fueled
the growth of machine learning applications across diverse fields such as computer vision …
the growth of machine learning applications across diverse fields such as computer vision …