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Information security and privacy = 3...
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ACISP (Conference) (2025 :)
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Information security and privacy = 30th Australasian Conference, ACISP 2025, Wollongong, NSW, Australia, July 14-16, 2025 : proceedings.. Part III /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Information security and privacy/ edited by Willy Susilo, Josef Pieprzyk.
Reminder of title:
30th Australasian Conference, ACISP 2025, Wollongong, NSW, Australia, July 14-16, 2025 : proceedings.
remainder title:
ACISP 2025
other author:
Susilo, Willy.
corporate name:
ACISP (Conference)
Published:
Singapore :Springer Nature Singapore : : 2025.,
Description:
xv, 484 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:
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.
Contained By:
Springer Nature eBook
Subject:
Computer security - Congresses. -
Online resource:
https://doi.org/10.1007/978-981-96-9101-2
ISBN:
9789819691012
Information security and privacy = 30th Australasian Conference, ACISP 2025, Wollongong, NSW, Australia, July 14-16, 2025 : proceedings.. Part III /
Information security and privacy
30th Australasian Conference, ACISP 2025, Wollongong, NSW, Australia, July 14-16, 2025 : proceedings.Part III /[electronic resource] :ACISP 2025edited by Willy Susilo, Josef Pieprzyk. - Singapore :Springer Nature Singapore :2025. - xv, 484 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,156601611-3349 ;. - Lecture notes in computer science ;15660..
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.
This three-volume set in LNCS constitutes the refereed proceedings of the 30th Australasian Conference on Information Security and Privacy, ACISP 2025, held in Wollongong, NSW, Australia, during July 14-16, 2025. The 54 full papers, 6 short papers and 1 invited paper included in this book were carefully reviewed and selected from 181 submissions. They were organized in topical sections as follows: symmetric-key cryptography and cryptanalysis; public-key encryption; digital signatures and zero knowledge; cryptographic protocols and blockchain; post-quantum cryptography; homomorphic encryption and applications; cryptographic foundations and number theory; privacy enhancing technologies; AI security and privacy; system security.
ISBN: 9789819691012
Standard No.: 10.1007/978-981-96-9101-2doiSubjects--Topical Terms:
622818
Computer security
--Congresses.
LC Class. No.: QA76.9.A25
Dewey Class. No.: 005.8
Information security and privacy = 30th Australasian Conference, ACISP 2025, Wollongong, NSW, Australia, July 14-16, 2025 : proceedings.. Part III /
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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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