Feasible but Not Safe: Constraint Violations and Report-Channel Attacks in Learned Cell-Free ISAC Association

arXiv:2609.03147 · cs.NI, cs.LG, eess.SP · Submitted 2026-09-02 · Read on arXiv

cs.NI, cs.LG, eess.SP

Submitted: 2026-09-02

Updated: 2026-09-02

Comments: Accepted to the 17th ACM Workshop on Wireless of the Students, by the Students, for the Students (S3 '26) at MobiCom 2026. 4 pages, 3 figures

Code: https://github.com/LS-Wireless/ASSENT-Security-Analysis

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 8× in this paper · explained in 1 episode
• Consistency — 4× in this paper · explained in 3 episodes
• False Data Injection (FDI) — 3× in this paper · explained in 2 episodes
• Graph Neural Network (GNN) — 3× in this paper · explained in 2 episodes
• Adversarial Attacks — 2× in this paper · explained in 1 episode
• Clustering — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Allocator — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Elias — 1× in this paper · explained in 2 episodes
• Heterogeneous Graph — 1× in this paper · explained in 2 episodes
• Mixed-Integer Linear Program (MILP) — 1× in this paper · explained in 2 episodes
• Physical Constraints — 1× in this paper · explained in 7 episodes
• Redundancy — 1× in this paper · explained in 2 episodes

Sources

• FGGM: Formal Grey-box Gradient Method for Attacking DRL-based MU-MIMO Scheduler
• Learning to Optimize for Mixed-Integer Non-linear Programming with Feasibility Guarantees

Related papers

• HiFiNet: Hierarchical Fault Identification in Wireless Sensor Networks via Edge-Based Classification and Graph Aggregation
• PACC: Protocol-Aware Cross-Layer Compression for Compact Network Traffic Representation
• TraceCodec: A Compiler-Backed Neural Codec for Network Traffic Traces
• Embodied AI in 6G Networks: From Intelligent Connectivity to Physical Intelligence
• Lightweight GenAI for Network Traffic Generation: Fidelity, Augmentation, and Classification
• NetRL: Powering Network Decisions via NetGRPO-Driven Reinforcement Learning