Learn about cryptography's role in securing information and protecting privacy.
― 5 min read
Computer Science - Cryptography and Security
RSSThis article discusses improving satellite communication through blockchain technology.
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Techniques to enhance performance in training models with differential privacy.
― 6 min read
QFHE allows computations on encrypted data for enhanced privacy and security.
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This article presents a method to protect personal data in machine learning systems.
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New methods reveal serious privacy threats from location data sharing.
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New systems improve insulin delivery and safety for type 1 diabetes management.
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Addressing the challenges of E2EE and account recovery methods.
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Introducing FC-EM to protect 3D point cloud data from unauthorized access.
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Examining the challenges and implications of unlearning in AI models.
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ASCENT improves hardware security against power side-channel attacks during design.
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New framework effectively identifies power overloading attacks in smart grid systems.
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Examining how routing techniques influence censorship experiences worldwide.
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This article discusses DRAM read disturbance and innovative management techniques.
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SubLock improves IC security against attacks while keeping costs low.
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Local Differential Privacy enables secure data sharing while protecting individual user information.
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A study evaluating the effectiveness of LLMs in spotting Android app vulnerabilities.
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A system to prevent attacks on Java applications by using a class allowlist.
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Examining the security of SHA-256 and recent collision finding techniques.
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New hybrid methods improve efficiency in integer factorization for cryptography.
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This paper presents a new DNN-based IDS in programmable networks.
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PUFs provide unique identities for secure communication in connected devices.
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A look at the role of pseudo-entanglement in advancing quantum cryptography.
― 4 min read
A novel approach combines voice analysis with privacy protection for dementia detection.
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A novel approach to ensure privacy while maintaining text utility in NLP models.
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As vehicles become smarter, protecting them from cyber threats is essential.
― 4 min read
A new system enhances data processing while ensuring user privacy and efficient resource use.
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A new method enhances efficiency in low-entropy couplings for large distributions.
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This article discusses the importance of secure software updates for CubeSats.
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Code poisoning enhances risks of membership inference attacks on sensitive data.
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Examining vulnerabilities from clean-label backdoor attacks and how generalization bounds can help.
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Research shows how easily safety features can be removed from Llama 3 models.
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Researchers examine methods to secure sensitive information in text classification models.
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QUEEN offers real-time protection against model extraction attacks in deep learning.
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Exploring the benefits of an offline digital euro for secure transactions.
― 7 min read
A framework for secure sharing of health information while protecting patient privacy.
― 12 min read
STRIDE predicts lost variable names and types in decompiled software efficiently.
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A look into how language models can leak sensitive data.
― 3 min read
This article examines risks linked to LLMs and proposes ways to enhance safety.
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Exploring backdoor attacks and graph reduction methods in GNNs.
― 5 min read