{"total":18,"rows":[{"id":"2502.13175","title":"Towards Robust and Secure Embodied AI: A Survey on Vulnerabilities and Attacks","created":"2025-02-18","cited_by_count":34,"area":null},{"id":"2106.07992","title":"Time Series Anomaly Detection for Cyber-Physical Systems via Neural System Identification and Bayesian Filtering","created":"2021-06-15","cited_by_count":31,"area":null},{"id":"2102.07244","title":"Resilient Machine Learning for Networked Cyber Physical Systems: A Survey for Machine Learning Security to Securing Machine Learning for CPS","created":"2021-02-14","cited_by_count":10,"area":null},{"id":"2103.01776","title":"IoT-Enabled Social Relationships Meet Artificial Social Intelligence","created":"2021-02-21","cited_by_count":8,"area":null},{"id":"2602.17345","title":"What Breaks Embodied AI Security:LLM Vulnerabilities, CPS Flaws,or Something Else?","created":"2026-02-19","cited_by_count":6,"area":null},{"id":"2311.02378","title":"MTS-DVGAN: Anomaly Detection in Cyber-Physical Systems using a Dual Variational Generative Adversarial Network","created":"2023-11-04","cited_by_count":5,"area":null},{"id":"2101.02780","title":"SHARKS: Smart Hacking Approaches for RisK Scanning in Internet-of-Things and Cyber-Physical Systems based on Machine Learning","created":"2021-01-07","cited_by_count":4,"area":null},{"id":"2502.13256","title":"Cyber-Physical Systems Security: A Comprehensive Review of Anomaly Detection Techniques","created":"2025-02-18","cited_by_count":4,"area":null},{"id":"2411.14278","title":"Adaptive Anomaly Detection for Identifying Attacks in Cyber-Physical Systems: A Systematic Literature Review","created":"2024-11-21","cited_by_count":2,"area":null},{"id":"2601.17303","title":"Decentralized Multi-Agent Swarms for Autonomous Grid Security in Industrial IoT: A Consensus-based Approach","created":"2026-01-24","cited_by_count":2,"area":null},{"id":"2111.05460","title":"Cross-Layered Distributed Data-driven Framework For Enhanced Smart Grid Cyber-Physical Security","created":"2021-11-10","cited_by_count":1,"area":null},{"id":"2606.08173","title":"AI-Native Closed-Loop Security for 6G-Enabled Cyber-Physical Systems: From Edge Detection to Network-Wide Mitigation","created":"2026-06-06","cited_by_count":1,"area":null},{"id":"2608.17796","title":"Diff-DDoS: Realistic Cyber-Physical Attack Synthesis and Robust Detection for 5G-Enabled CPS Using Tabular Diffusion Models","created":"2026-08-18","cited_by_count":1,"area":null},{"id":"2103.02872","title":"An RL-Based Adaptive Detection Strategy to Secure Cyber-Physical Systems","created":"2021-03-04","cited_by_count":0,"area":null},{"id":"2202.10387","title":"Improving Radioactive Material Localization by Leveraging Cyber-Security Model Optimizations","created":"2022-02-21","cited_by_count":0,"area":null},{"id":"2302.10601","title":"Few-shot Detection of Anomalies in Industrial Cyber-Physical System via Prototypical Network and Contrastive Learning","created":"2023-02-21","cited_by_count":0,"area":null},{"id":"2506.20102","title":"Autonomous Cyber Resilience via a Co-Evolutionary Arms Race within a Fortified Digital Twin Sandbox","created":"2025-06-25","cited_by_count":0,"area":null},{"id":"2607.23870","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","created":"2026-07-26","cited_by_count":0,"area":null}],"next_cursor":null}