FairDP offers a solution for ensuring privacy and fairness in machine learning systems.
― 6 min read
Cutting edge science explained simply
FairDP offers a solution for ensuring privacy and fairness in machine learning systems.
― 6 min read
Latest Articles
― 6 min read
Latest Articles
A new model enhances vulnerability detection accuracy using deep learning techniques.
― 6 min read
Achieving interoperability among CBDCs to enhance transactions and trust in the financial system.
― 4 min read
Exploring tools for clearer evidence evaluation in cryptocurrency crime investigations.
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Research reveals the impact of selfish miners on DAG blockchain efficiency.
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A new approach for secure messaging without revealing sender or receiver identities.
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Examining the trust and ethics surrounding protestware in open source software.
― 7 min read
This paper examines the dangers of relying on generated data for language model training.
― 5 min read
A new protocol to protect user privacy in 5G network slicing.
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PPA-AFL improves data privacy in collaborative machine learning across devices.
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Examining voting power distribution in Compound and Uniswap's governance frameworks.
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A method for secure and efficient use of LLMs while protecting user privacy.
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Examining how selective classifiers preserve privacy and prediction accuracy.
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Incremental learning enhances machine learning but faces serious threats from backdoor attacks.
― 4 min read
Examining the interplay of communication methods and privacy in virtual spaces.
― 8 min read
This study explores how network operators adapted during the Russia-Ukraine conflict.
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A look at how differential privacy safeguards individual information in data analysis.
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A look at differentially private convex optimization for data protection in machine learning.
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UMD offers a new way to identify complex backdoor attacks effectively.
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A new framework enhances evaluation of NLP models against adversarial attacks.
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A study on the effectiveness of neighborhood attacks in revealing training data.
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A look into techniques for identifying watermarks in AI-generated text.
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RowHammer threatens data integrity in high-bandwidth memory systems.
― 4 min read
This technique improves test case generation for deep learning applications.
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Learn how reversible watermarking safeguards deep neural networks against misuse.
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A new framework enhances the detection of cyber attack paths.
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Examining the effectiveness and challenges of unlearnable datasets in protecting private information.
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Federated learning improves model training while keeping user data private.
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T800 offers an efficient security solution for vulnerable IoT devices.
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A new method ensures privacy in speech classification without sacrificing performance.
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A new method enhances detection of ransomware using multiple tests for better accuracy.
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This paper presents a formal model for secure computations in C language.
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A look at the risks and vulnerabilities of fingerprint security on smartphones.
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A new method leveraging graphs to identify adversarial attacks on neural networks.
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New algorithms enhance hidden data extraction methods in multimedia content.
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A look into J-UNIWARD's message hiding technique and its minor calculation error.
― 4 min read
Exploring clean-label attacks and defenses in NLP machine learning models.
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This article explores the link between bias in neural networks and vulnerability to adversarial attacks.
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A novel approach to enhance security in military wireless networks.
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This article examines privacy models' effects on monitoring CO2 levels in smart buildings.
― 8 min read
This review looks into the resilience of unsupervised learning to adversarial attacks.
― 8 min read