Elevating Defenses: Bridging Adversarial Training and Watermarking for Model Resilience
- Janvi Thakkar
- Giulio Zizzo
- et al.
- 2024
- AAAI 2024
Workshop paper
Publications
708 results for Security
Differentially Private and Adversarially Robust Machine Learning: An Empirical Evaluation
- Janvi Thakkar
- Giulio Zizzo
- et al.
- 2024
- AAAI 2024
Workshop paperRobust Channels: Handling Unreliable Networks in the Record Layers of QUIC and DTLS 1.3
- Marc Fischlin
- Felix Günther
- et al.
- 2024
- Journal of Cryptology
PaperA Chaos Recommendation Tool for Reliability Testing in Large-Scale Cloud-Native Systems
- Mudit Verma
- Sandeep Hans
- et al.
- 2024
- COMSNET 2024
Demo paperDramaton: A Near-DRAM Accelerator for Large Number Theoretic Transforms
- Yongmo Park
- Subhankar Pal
- et al.
- 2024
- IEEE Computer Architecture Letters
PaperA Framework for Cognitive, Decentralized Container Orchestration
- Rute C. Sofia
- Josh Salomon
- et al.
- 2024
- IEEE Access
PaperInternational Workshop on Federated Learning in the Age of Foundation Models
- Jinghui Chen
- Lixin Fan
- et al.
- 2023
- NeurIPS 2023
WorkshopTensorBank: Tensor Lakehouse for Foundation Model Training
- Romeo Kienzler
- Johannes Schmude
- et al.
- 2023
- Big Data 2023
Short paperPruning Federated Learning Models for Anomaly Detection in Resource-Constrained Environments
- Simone Magnani
- Stefano Braghin
- et al.
- 2023
- Big Data 2023
Workshop paperStableFDG: Style and Attention Based Learning for Federated Domain Generalization
- Jungwuk Park
- Dong-jun Han
- et al.
- 2023
- NeurIPS 2023
Conference paper