Description

Book Synopsis

.- Privacy Enhancing Technologies.

.- Comparing and Improving Frequency Estimation Perturbation Mechanisms under Local Differential Privacy.

.- Strong Federated Authentication With Password-based Credential Against Identity Server Corruption.

.- Anonymous Credentials with Credential Redaction and Its Application to SSI-based Plug Charge for Shared Vehicles.

.- Direction-Oriented Smooth Sensitivity and Its Application to Genomic Statistical Analysis.

.- Sentence Embedding Generation Method for Differential Privacy Protection.

.-KD-IBMRKE-PPFL: A Privacy-Preserving Federated Learning Framework Integrating Knowledge Distillation and Identity-Based Multi-Receiver Key
Encapsulation.

.- AI Security and Privacy.

.- Identifying the Truth of Global Model: A Generic Solution to Defend Against Byzantine and Backdoor Attacks in Federated Learning.

.-RAGLeak: Membership Inference Attacks on RAG-Based Large Language
Models.

.- DeGain: Detecting GAN-based Data Inversion in Collaborative Deep Learning.

.- FRFL: Fair and Robust Federated Learning Incentive Model Based on Game Theory.

.- DPFedSub: A Differentially Private Federated Learning with Randomized Subspace Descend.

.- MG-Det: Deepfake Detection with Multi-Granularity.

.- LPIA: Label Preference Inference Attack against Federated Graph Learning.

.- DARA: Enhancing Vulnerability Alignment via Adaptive Reconstruction and Dual-Level Attention.

.- Zeroth-Order Federated Private Tuning for Pretrained Large Language Models.

.- Understanding the Robustness of Machine-Unlearning Models.

.- System Security.

.- Mitigating the Unprivileged User Namespaces based Privilege Escalation Attacks with Linux Capabilities.

.- SoK: From Systematization to Best Practices in Fuzz Driver Generation.

.- Facial Authentication Security Evaluation against Deepfake Attacks in Mobile Apps.

.- Short Papers.

.- EAPIR: Efficient and Authenticated Private Information Retrieval with Fast Server Processing.

.- Ransomware Encryption Detection: Adaptive File System Analysis Against Evasive Encryption Tactics.

.- Receiver-initiated Updatable Public Key Encryption: Construction, Security and Application.

.- Robust and Privacy-Preserving Dynamic Average Consensus with Individual Weight.

.- Improving RSA Cryptanalysis: Combining Continued Fractions and Coppersmith’s Techniques.

.- Shortest Printable Shellcode Encoding Algorithm Based on Dynamic Bitwidth Selection.

.- Position Paper.

.- Bridging Clone Detection and Industrial Compliance: A Practical Pipeline for Enterprise Codebases.

Information Security and Privacy

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    Order before 4pm tomorrow for delivery by Wed 17 Jun 2026.

    A Paperback by Willy Susilo

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      View other formats and editions of Information Security and Privacy by Willy Susilo

      Publisher: Springer
      Publication Date: 01/08/2025
      ISBN13: 9789819691005, 978-9819691005
      ISBN10:

      Description

      Book Synopsis

      .- Privacy Enhancing Technologies.

      .- Comparing and Improving Frequency Estimation Perturbation Mechanisms under Local Differential Privacy.

      .- Strong Federated Authentication With Password-based Credential Against Identity Server Corruption.

      .- Anonymous Credentials with Credential Redaction and Its Application to SSI-based Plug Charge for Shared Vehicles.

      .- Direction-Oriented Smooth Sensitivity and Its Application to Genomic Statistical Analysis.

      .- Sentence Embedding Generation Method for Differential Privacy Protection.

      .-KD-IBMRKE-PPFL: A Privacy-Preserving Federated Learning Framework Integrating Knowledge Distillation and Identity-Based Multi-Receiver Key
      Encapsulation.

      .- AI Security and Privacy.

      .- Identifying the Truth of Global Model: A Generic Solution to Defend Against Byzantine and Backdoor Attacks in Federated Learning.

      .-RAGLeak: Membership Inference Attacks on RAG-Based Large Language
      Models.

      .- DeGain: Detecting GAN-based Data Inversion in Collaborative Deep Learning.

      .- FRFL: Fair and Robust Federated Learning Incentive Model Based on Game Theory.

      .- DPFedSub: A Differentially Private Federated Learning with Randomized Subspace Descend.

      .- MG-Det: Deepfake Detection with Multi-Granularity.

      .- LPIA: Label Preference Inference Attack against Federated Graph Learning.

      .- DARA: Enhancing Vulnerability Alignment via Adaptive Reconstruction and Dual-Level Attention.

      .- Zeroth-Order Federated Private Tuning for Pretrained Large Language Models.

      .- Understanding the Robustness of Machine-Unlearning Models.

      .- System Security.

      .- Mitigating the Unprivileged User Namespaces based Privilege Escalation Attacks with Linux Capabilities.

      .- SoK: From Systematization to Best Practices in Fuzz Driver Generation.

      .- Facial Authentication Security Evaluation against Deepfake Attacks in Mobile Apps.

      .- Short Papers.

      .- EAPIR: Efficient and Authenticated Private Information Retrieval with Fast Server Processing.

      .- Ransomware Encryption Detection: Adaptive File System Analysis Against Evasive Encryption Tactics.

      .- Receiver-initiated Updatable Public Key Encryption: Construction, Security and Application.

      .- Robust and Privacy-Preserving Dynamic Average Consensus with Individual Weight.

      .- Improving RSA Cryptanalysis: Combining Continued Fractions and Coppersmith’s Techniques.

      .- Shortest Printable Shellcode Encoding Algorithm Based on Dynamic Bitwidth Selection.

      .- Position Paper.

      .- Bridging Clone Detection and Industrial Compliance: A Practical Pipeline for Enterprise Codebases.

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