Program

WiseML 2026 will take place on July 3 in the Congresshalle of the Saarbrücken Congress Center, street address is Hafenstraße 12, 66111 Saarbrücken. All times are shown in Central European Summer Time (CEST). The workshop is single-track, and all sessions will be held in Room II (downstairs of the WiSec main conference room) of the Congres Center. Presentation slots are 20 minutes, including Q&A.

Friday 3 July

CET
09:00Keynote: Toward Open, Programmable, Intelligent, and Secure AI-RAN
Michele Polese (Northeastern University, USA),
10:00Break (30 min)
10:30Session 1 (Chair: TBD)
Systems, Networking, and Applications
  • Unified Online Traffic Analyzer and Scheduling Engine in 5G Open-RAN
    Rilong Qian (Shanghai Jiao Tong University); Cunqing Hua (Shanghai Jiao Tong University); Xiaoliang Yin (Shanghai Jiao Tong University); Pengwenlong Gu (CNAM, France)
  • Towards Trust-Aware and Energy-Efficient Symbiotic Blockchain Networks for 6G via Off-Chain Aggregation
    Tariq Naeem (Marche Polytechnic University, Ancona); Ali Hassan Sodhro (Kristianstad University, Kristianstad); Massimiliano Pirani (Pegaso University, Naples), Luca Spalazzi (Marche Polytechnic University, Ancona)
  • WP-BFI: Recovering Sensitive Activities from WiFi Beamforming Feedback Information under Label Scarcity
    Shiqian Guan (School of Cyber Science and Engineering, Southeast University); Zhiming Chu (School of Cyber Science and Engineering, Southeast University); Tianxiang Xie (School of Cyber Science and Engineering, Southeast University); Guyue Li (School of Cyber Science and Engineering, Southeast University)
  • Feedback Lunch: Learned Feedback Codes for Secure Communications
    Yingyao Zhou (University of Illinois - Chicago); Natasha Devroye (University of Illinois - Chicago); Onur Günlü (TU Dortmund)
12:00Lunch
13:00Keynote 2: Small Steps, Big Systems: LLMs and the Scale Problem in Wireless Protocol Security
Nils Ole Tippenhauer (CISPA Helmholtz Center for Information Security, Germany),
14:00Break (30 min)
14:30Session 2 (Chair: TBD)
ML Security, Adversarial Learning, and V2X Systems
  • WIP: False-Data Injection Against Physics-Constrained Neural Networks for Trajectory Planning in Autonomous Racing
    ChunTao Yang (Virginia Polytechnic Institute and State University); Ryan Gerdes (Virginia Polytechnic Institute and State University)
  • Adapter-Based Parameter-Efficient Adversarial Training for Enhanced Clean Accuracy
    Xiaowen Li (University of South Florida); Wenwei Zhao (University of South Florida); Zhuo Lu (University of South Florida), Yao Liu (University of South Florida)
  • PAMPOS: Causal Transformer-based Trajectory Prediction for Attack-Agnostic Misbehavior Detection in V2X Networks
    Konstantinos Kalogiannis (KTH, Royal Institute of Technology); Ahmed Hussain (KTH Royal Institute of Technology); Panos Papadimitratos (KTH Royal Institute of Technology)
  • Consistency-Preserving Logit Shaping for Robust Model Stealing Defense with Applications in Wireless Spectrum Security
    Xiaowen Li (University of South Florida); Wenwei Zhao (University of South Florida); Jie Xu (University of Florida); Yao Liu (University of South Florida); Zhuo Lu (University of South Florida)
16:00End of Workshop