"privacy-utility trade-off" Papers
12 papers found
Conference
Deep Learning with Plausible Deniability
Wenxuan Bao, Shan Jin, Hadi Abdullah et al.
NEURIPS 2025
DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction
Xinwei Zhang, Zhiqi Bu, Borja Balle et al.
ICLR 2025arXiv:2410.03883
5
citations
Empirical Privacy Variance
Yuzheng Hu, Fan Wu, Ruicheng Xian et al.
ICML 2025arXiv:2503.12314
2
citations
Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models
Chen Chen, Daochang Liu, Mubarak Shah et al.
CVPR 2025arXiv:2504.18032
7
citations
Mitigating the Privacy–Utility Trade-off in Decentralized Federated Learning via f-Differential Privacy
Xiang Li, Chendi Wang, Buxin Su et al.
NEURIPS 2025spotlight
1
citations
Private Hyperparameter Tuning with Ex-Post Guarantee
Badih Ghazi, Pritish Kamath, Alexander Knop et al.
NEURIPS 2025spotlightarXiv:2508.15183
1
citations
Self-Refining Language Model Anonymizers via Adversarial Distillation
Kyuyoung Kim, Hyunjun Jeon, Jinwoo Shin
NEURIPS 2025arXiv:2506.01420
3
citations
A Generalized Shuffle Framework for Privacy Amplification: Strengthening Privacy Guarantees and Enhancing Utility
Chen E, Yang Cao, Ge Yifei
AAAI 2024paperarXiv:2312.14388
12
citations
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss
Zhenlong Liu, Lei Feng, HUIPING ZHUANG et al.
ICML 2024arXiv:2402.05453
5
citations
SIMBA: Split Inference - Mechanisms, Benchmarks and Attacks
Abhishek Singh, Vivek Sharma, Rohan Sukumaran et al.
ECCV 2024
2
citations
The Fundamental Limits of Least-Privilege Learning
Theresa Stadler, Bogdan Kulynych, Michael Gastpar et al.
ICML 2024arXiv:2402.12235
2
citations
The Privacy Power of Correlated Noise in Decentralized Learning
Youssef Allouah, Anastasiia Koloskova, Aymane Firdoussi et al.
ICML 2024arXiv:2405.01031
18
citations