Rijad Alisic (KTH)

Anomaly Detection with Encrypted Control

Mohsen Amiri (Stockholm University)

On the Convergence of TD-Learning on  Markov Reward Processes with Hidden States

Seyed Mohammad Azimi-Abarghouyi (KTH)

Scalable Hierarchical Over-the-Air Federated Learning

Enno Breukelman (KTH)

On the Potential of Unknown Input Observers for Breaking Confidentiality of Controller States under Sensor Attacks

Kun Cao (KTH)

Towards Efficient Multi-agent Inverse Reinforcement Learning

Chen Chen (KTH)

Machine Learning for Intelligent Reflecting Surface-Aided Wireless Communications and Security

Peihu Duan (KTH)

Data-Driven Kalman Filter using Maximum Likelihood Optimization

Leonhard Grosse (KTH)

Extremal Mechanisms for Pointwise Maximal Leakage

Alice Harting (KTH)

MCMC Estimation of Causal VAE Architectures with Applications to Spotify User Behavior

Kamil Hassan (KTH)

Resilient Control of Power Inverter Network by Finite-Time Robust Control Barrier Functions

Kiarash Kazari (KTH)

Decentralized Anomaly Detection in Cooperative Multi-Agent Reinforcement Learning

Yu Tian (Stockholm University)

Structural Balance and Random Walks on Complex Networks with Complex Weights

Po-An Wang (KTH)

Best Arm Identification with Fixed Budget: A Large Deviation Perspective

Gehui Xu (KTH)

Non-convex potential game approach to global solution in sensor network localization

Shubham Vaishnav (Stockholm University)

Communication-Adaptive Gradient Sparsification for Federated Learning with Error Compensation