{"product_id":"nicomette-vincent-computer-security-esorics-2025-9783032078834","title":"Computer Security - ESORICS 2025","description":".- Time-Distributed Backdoor Attacks on Federated Spiking Learning..- TATA: Benchmark NIDS Test Sets Assessment and Targeted Augmentation..- Abuse-Resistant Evaluation of AI-as-a-Service via Function-Hiding Homomorphic Signatures..- PriSM: A Privacy-friendly Support vector Machine..- Towards Context-Aware Log Anomaly Detection Using Fine-Tuned Large Language Models..- PROTEAN: Federated Intrusion Detection in Non-IID Environments through Prototype-Based Knowledge Sharing..- KeTS: Kernel-based Trust Segmentation against Model Poisoning Attacks..- Machine Learning Vulnerabilities in 6G: Adversarial Attacks and Their Impact on Channel Gain Prediction and Resource Allocation in UC-CF-mMIMO..- FuncVul: An Effective Function Level Vulnerability Detection Model using LLM and Code Chunk..- LUMIA: Linear probing for Unimodal and MultiModal Membership Inference Attacks leveraging internal LLM states..- Membership Privacy Evaluation in Deep Spiking Neural Networks..- DUMB and DUMBer: Is Adversarial Training Worth It in the Real World?..- Countering Jailbreak Attacks with Two-Axis Pre-Detection and Conditional Warning Wrappers..- How Dataset Diversity Affects Generalization in ML-based NIDS..- Llama-based source code vulnerability detection: Prompt engineering vs Finetuning. .- DBBA: Diffusion-based Backdoor Attacks on Open-set Face Recognition Models..- Evaluation of Autonomous Intrusion Response Agents In Adversarial and Normal Scenarios..- Trigger-Based Fragile Model Watermarking for Image Transformation Networks..- Let the Noise Speak: Harnessing Noise for a Unified Defense Against Adversarial and Backdoor Attacks..- On the Adversarial Robustness of Graph Neural Networks with Graph Reduction..- SecureT2I: No More Unauthorized Manipulation on AI Generated Images from Prompts..- GANSec: Enhancing Supervised Wireless Anomaly Detection Robustness through Tailored Conditional GAN Augmentation..- Fine-Grained Data Poisoning Attack to Local Differential Privacy Protocols for Key-Value Data..- The DCR Delusion: Measuring the Privacy Risk of Synthetic Data..- StructTransform: A Scalable Attack Surface for Safety-Aligned Large Language Models.","brand":"Springer","offers":[{"title":"Default Title","offer_id":53769901539670,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":false}],"url":"https:\/\/www.momoxbooks.com\/products\/nicomette-vincent-computer-security-esorics-2025-9783032078834","provider":"momoxbooks","version":"1.0","type":"link"}