{"product_id":"information-security-and-privacy-9789819691005","title":"Information Security and Privacy","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e.- \u003cstrong\u003ePrivacy Enhancing Technologies\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- Comparing and Improving Frequency Estimation Perturbation Mechanisms under Local Differential Privacy.\u003c\/p\u003e\u003cp\u003e.- Strong Federated Authentication With Password-based Credential Against Identity Server Corruption.\u003c\/p\u003e\u003cp\u003e.- Anonymous Credentials with Credential Redaction and Its Application to SSI-based Plug Charge for Shared Vehicles.\u003c\/p\u003e\u003cp\u003e.- Direction-Oriented Smooth Sensitivity and Its Application to Genomic Statistical Analysis.\u003c\/p\u003e\u003cp\u003e.- Sentence Embedding Generation Method for Differential Privacy Protection.\u003c\/p\u003e\u003cp\u003e.-KD-IBMRKE-PPFL: A Privacy-Preserving Federated Learning Framework Integrating Knowledge Distillation and Identity-Based Multi-Receiver Key\u003cbr\u003eEncapsulation.\u003c\/p\u003e\u003cp\u003e.- \u003cstrong\u003eAI Security and Privacy\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- Identifying the Truth of Global Model: A Generic Solution to Defend Against Byzantine and Backdoor Attacks in Federated Learning.\u003c\/p\u003e\u003cp\u003e.-RAGLeak: Membership Inference Attacks on RAG-Based Large Language\u003cbr\u003eModels.\u003c\/p\u003e\u003cp\u003e.- DeGain: Detecting GAN-based Data Inversion in Collaborative Deep Learning.\u003c\/p\u003e\u003cp\u003e.- FRFL: Fair and Robust Federated Learning Incentive Model Based on Game Theory.\u003c\/p\u003e\u003cp\u003e.- DPFedSub: A Differentially Private Federated Learning with Randomized Subspace Descend.\u003c\/p\u003e\u003cp\u003e.- MG-Det: Deepfake Detection with Multi-Granularity.\u003c\/p\u003e\u003cp\u003e.- LPIA: Label Preference Inference Attack against Federated Graph Learning.\u003c\/p\u003e\u003cp\u003e.- DARA: Enhancing Vulnerability Alignment via Adaptive Reconstruction and Dual-Level Attention.\u003c\/p\u003e\u003cp\u003e.- Zeroth-Order Federated Private Tuning for Pretrained Large Language Models.\u003c\/p\u003e\u003cp\u003e.- Understanding the Robustness of Machine-Unlearning Models.\u003c\/p\u003e\u003cp\u003e.- \u003cstrong\u003eSystem Security\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- Mitigating the Unprivileged User Namespaces based Privilege Escalation Attacks with Linux Capabilities.\u003c\/p\u003e\u003cp\u003e.- SoK: From Systematization to Best Practices in Fuzz Driver Generation.\u003c\/p\u003e\u003cp\u003e.- Facial Authentication Security Evaluation against Deepfake Attacks in Mobile Apps.\u003c\/p\u003e\u003cp\u003e.- \u003cstrong\u003eShort Papers\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- EAPIR: Efficient and Authenticated Private Information Retrieval with Fast Server Processing.\u003c\/p\u003e\u003cp\u003e.- Ransomware Encryption Detection: Adaptive File System Analysis Against Evasive Encryption Tactics.\u003c\/p\u003e\u003cp\u003e.- Receiver-initiated Updatable Public Key Encryption: Construction, Security and Application.\u003c\/p\u003e\u003cp\u003e.- Robust and Privacy-Preserving Dynamic Average Consensus with Individual Weight.\u003c\/p\u003e\u003cp\u003e.- Improving RSA Cryptanalysis: Combining Continued Fractions and Coppersmith’s Techniques.\u003c\/p\u003e\u003cp\u003e.- Shortest Printable Shellcode Encoding Algorithm Based on Dynamic Bitwidth Selection.\u003c\/p\u003e\u003cp\u003e.- \u003cstrong\u003ePosition Paper\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- Bridging Clone Detection and Industrial Compliance: A Practical Pipeline for Enterprise Codebases.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53212890333527,"sku":"9789819691005","price":64.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/information-security-and-privacy-9789819691005","provider":"Book Curl","version":"1.0","type":"link"}