Publications

1593 results for Machine Learning

Adversarial Robustness of Deep Learning-Based Malware Detectors via (De)Randomized Smoothing
- - Daniel Gibert
  - Giulio Zizzo
  - et al.
- 2024
- IEEE Access
Communication-Constrained Hypothesis Testing: Optimality, Robustness, and Reverse Data Processing Inequalities
- - Ankit Pensia
  - Varun Jog
  - et al.
- 2024
- IEEE Trans. Inf. Theory
Physics-Informed Explainable Continual Learning on Graphs
- - Ciyuan Peng
  - Tao Tang
  - et al.
- 2024
- IEEE TNNLS
International Workshop on Federated Learning in the Age of Foundation Models
- - Jinghui Chen
  - Lixin Fan
  - et al.
- 2023
- NeurIPS 2023
IDMU: Impact Driven Machine Unlearning
- - Shubhi Asthana
  - Bing Zhang
  - et al.
- 2023
- Big Data 2023
TensorBank: Tensor Lakehouse for Foundation Model Training
- - Romeo Kienzler
  - Johannes Schmude
  - et al.
- 2023
- Big Data 2023
Pruning Federated Learning Models for Anomaly Detection in Resource-Constrained Environments
- - Simone Magnani
  - Stefano Braghin
  - et al.
- 2023
- Big Data 2023
Realistic Synthetic Financial Transactions for Anti-Money Laundering Models
- - Erik Altman
  - Jovan Blanusa
  - et al.
- 2023
- NeurIPS 2023
Modulated Neural ODEs
- - Ilze Amanda Auzina
  - Cagatay Yildiz
  - et al.
- 2023
- NeurIPS 2023
Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression
- - Robert Alison
  - Anthony Stephenson
  - et al.
- 2023
- NeurIPS 2023