Copertina

Privacy Preserving Charge Location Prediction for Electric Vehicles

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Marlin, Robert, Jurdak, Raja, Abuadbba, Alsharif, Miller, Dimity
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Cryptography and Security Artificial Intelligence I.6.5
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

H-FLTN: A Privacy-Preserving Hierarchical Framework for Electric Vehicle Spatio-Temporal Charge Prediction
di: Marlin, Robert, et al.
Pubblicazione: (2025)

Towards Low-Latency and Adaptive Ransomware Detection Using Contrastive Learning
di: Pan, Zhixin, et al.
Pubblicazione: (2025)

From nuclear safety to LLM security: Applying non-probabilistic risk management strategies to build safe and secure LLM-powered systems
di: Gutfraind, Alexander, et al.
Pubblicazione: (2025)

Scalable APT Malware Classification via Parallel Feature Extraction and GPU-Accelerated Learning
di: Subedar, Noah, et al.
Pubblicazione: (2025)

Send to which account? Evaluation of an LLM-based Scambaiting System
di: Siadati, Hossein, et al.
Pubblicazione: (2025)

Measuring Harmfulness of Computer-Using Agents
di: Tian, Aaron Xuxiang, et al.
Pubblicazione: (2025)

Countermind: A Multi-Layered Security Architecture for Large Language Models
di: Schwarz, Dominik
Pubblicazione: (2025)

Design Principles for the Construction of a Benchmark Evaluating Security Operation Capabilities of Multi-agent AI Systems
di: Cai, Yicheng, et al.
Pubblicazione: (2026)

Cyber Defense Benchmark: Agentic Threat Hunting Evaluation for LLMs in SecOps
di: Chona, Alankrit, et al.
Pubblicazione: (2026)

Security Attack and Defense Strategies for Autonomous Agent Frameworks: A Layered Review with OpenClaw as a Case Study
di: Xu, Luyao, et al.
Pubblicazione: (2026)

Architecture-Agnostic Feature Synergy for Universal Defense Against Heterogeneous Generative Threats
di: Zhang, Bingxue, et al.
Pubblicazione: (2026)

Cross-LLM Generalization of Behavioral Backdoor Detection in AI Agent Supply Chains
di: Sanna, Arun Chowdary
Pubblicazione: (2025)

Benchmarking Autonomous Agents against Temporal, Spatial, and Semantic Evasions
di: Ma, Jianan, et al.
Pubblicazione: (2026)

Closing the Distribution Gap in Adversarial Training for LLMs
di: Hu, Chengzhi, et al.
Pubblicazione: (2026)

Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation
di: Anderson, Maya, et al.
Pubblicazione: (2024)

SALLIE: Safeguarding Against Latent Language & Image Exploits
di: Azov, Guy, et al.
Pubblicazione: (2026)

AegisShield: Democratizing Cyber Threat Modeling with Generative AI
di: Grofsky, Matthew
Pubblicazione: (2025)

ILION: Deterministic Pre-Execution Safety Gates for Agentic AI Systems
di: Chitan, Florin Adrian
Pubblicazione: (2026)

A Protocol-Language Model for Network Intrusion (Without Deep Packet Inspection)
di: Sharma, Vivek Kumar
Pubblicazione: (2026)

Session Risk Memory (SRM): Temporal Authorization for Deterministic Pre-Execution Safety Gates
di: Chitan, Florin Adrian
Pubblicazione: (2026)

Evaluating the Reliability of Digital Forensic Evidence Discovered by Large Language Model: A Case Study
di: Khatiwala, Jeel Piyushkumar, et al.
Pubblicazione: (2026)

Multilingual AI-Driven Password Strength Estimation with Similarity-Based Detection
di: Palaniappan, Nikitha M., et al.
Pubblicazione: (2026)

Towards Agentic Investigation of Security Alerts
di: Eilertsen, Even, et al.
Pubblicazione: (2026)

AgentSentry: Mitigating Indirect Prompt Injection in LLM Agents via Temporal Causal Diagnostics and Context Purification
di: Zhang, Tian, et al.
Pubblicazione: (2026)

Depth-Dependent Indirect Prompt Injection in Tool-Calling ReAct Agents: Injection Depth, Payload Framing, and Turn-Budget Sensitivity
di: Rashidi, Mohammadreza
Pubblicazione: (2026)

SCAFDS: Edge-Feature Graph Attention for Interbank Fraud Detection with Attribution-Grounded SAR Generation
di: Uddin, Mohammad Nasir
Pubblicazione: (2026)

A Privacy-Preserving Federated Learning Approach for Kernel methods
di: Hannemann, Anika, et al.
Pubblicazione: (2023)

A Taxonomy of Data Risks in AI and Quantum Computing (QAI) - A Systematic Review
di: Billiris, Grace, et al.
Pubblicazione: (2025)

CritBench: A Framework for Evaluating Cybersecurity Capabilities of Large Language Models in IEC 61850 Digital Substation Environments
di: Keppler, Gustav, et al.
Pubblicazione: (2026)

An Agentic Multi-Agent Architecture for Cybersecurity Risk Management
di: Gupta, Ravish, et al.
Pubblicazione: (2026)

Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security
di: Qi, Jinhu, et al.
Pubblicazione: (2026)

Illuminating the Black Box: Real-Time Monitoring of Backdoor Unlearning in CNNs via Explainable AI
di: Hoang, Tien Dat
Pubblicazione: (2025)

Multi-Agent Honeypot-Based Request-Response Context Dataset for Improved SQL Injection Detection Performance
di: Yu, Hao, et al.
Pubblicazione: (2026)

Contrastive Self-Supervised Network Intrusion Detection using Augmented Negative Pairs
di: Wilkie, Jack, et al.
Pubblicazione: (2025)

Governance Architecture for Autonomous Agent Systems: Threats, Framework, and Engineering Practice
di: Ge, Yuxu
Pubblicazione: (2026)

Spill The Beans: Exploiting CPU Cache Side-Channels to Leak Tokens from Large Language Models
di: Adiletta, Andrew, et al.
Pubblicazione: (2025)

Reverse CAPTCHA: Evaluating LLM Susceptibility to Invisible Unicode Instruction Injection
di: Graves, Marcus
Pubblicazione: (2026)

Few-Shot Network Intrusion Detection Using Online Triplet Mining
di: Wilkie, Jack, et al.
Pubblicazione: (2026)

Activation Differences Reveal Backdoors: A Comparison of SAE Architectures
di: Kumar, Sachin
Pubblicazione: (2026)

A Dual-Path Generative Framework for Zero-Day Fraud Detection in Banking Systems
di: Ismail, Nasim Abdirahman, et al.
Pubblicazione: (2026)