AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Decision Tree Models
- Abdullah Caglar Oksuz
- Anisa Halimi
- et al.
- 2023
- NDSS 2023
Publications
Date
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Popular topics
47 results for AI Privacy
IBM Federated Learning Community Edition: An Interactive Demonstration
- Laura Wynter
- 2020
- NeurIPS 2020
Data Forging Is Harder Than You Think
- 2024
- ICLR 2024
Addressing Unique Fairness Obstacles within Federated Learning
- Annie Abay
- Ebube Chuba
- et al.
- 2021
- AAAI 2021
FAT: Federated Adversarial Training
- 2020
- NeurIPS 2020
Explainable Link Prediction for Privacy-Preserving Contact Tracing
- Balaji Ganesan
- Hima Patel
- et al.
- 2020
- NeurIPS 2020
Memorization to Generalization: The Emergence of Diffusion Models from Associative Memory
- Bao Pham
- Gabriel Raya
- et al.
- 2024
- NeurIPS 2024
Verifiable Federated Learning
- Simone Bottoni
- Giulio Zizzo
- et al.
- 2022
- NeurIPS 2022
Learning to Design Fair and Private Voting Rules
- Farhad Mohsin
- Ao Liu
- et al.
- 2020
- NeurIPS 2020
Federated Continual Learning with Differentially Private Data Sharing
- 2022
- NeurIPS 2022