Differentially-Private Decision Trees and Provable Robustness to Data Poisoning
cs.LG, cs.CR
Submitted: 2023-05-24
Updated: 2026-09-25
Code: https://github.com/tudelft-cda-lab/PrivaTree
Terminology
Sources
- Diffprivlib: The IBM Differential Privacy Library
- Why do tree-based models still outperform deep learning on tabular data?
- Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering
- Certified Defenses against Adversarial Examples
- Private Boosted Decision Trees via Smooth Re-Weighting
- Data Poisoning against Differentially-Private Learners: Attacks and Defenses
- On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping
- DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with Differentially Private Data Augmentations
- BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain
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