Advances in Cryptology – EUROCRYPT 2024
43rd Annual International Conference on the Theory and Applications of Cryptographic Techniques, Zurich, Switzerland, May 26–30, 2024, Proceedings, Part II
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Chapter and Conference Paper
TFHE Public-Key Encryption Revisited
Fully homomorphic encryption allows directly processing encrypted data without having to decrypt it. The result of the computation is encrypted, typically under the same key. This unique feature offers a stron...
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Book and Conference Proceedings
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Book and Conference Proceedings
Advances in Cryptology – EUROCRYPT 2024
43rd Annual International Conference on the Theory and Applications of Cryptographic Techniques, Zurich, Switzerland, May 26–30, 2024, Proceedings, Part III
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Book and Conference Proceedings
Advances in Cryptology – EUROCRYPT 2024
43rd Annual International Conference on the Theory and Applications of Cryptographic Techniques, Zurich, Switzerland, May 26–30, 2024, Proceedings, Part V
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Book and Conference Proceedings
Advances in Cryptology – EUROCRYPT 2024
43rd Annual International Conference on the Theory and Applications of Cryptographic Techniques, Zurich, Switzerland, May 26–30, 2024, Proceedings, Part IV
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Book and Conference Proceedings
Advances in Cryptology – EUROCRYPT 2024
43rd Annual International Conference on the Theory and Applications of Cryptographic Techniques, Zurich, Switzerland, May 26–30, 2024, Proceedings, Part VI
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Book and Conference Proceedings
Advances in Cryptology – EUROCRYPT 2024
43rd Annual International Conference on the Theory and Applications of Cryptographic Techniques, Zurich, Switzerland, May 26–30, 2024, Proceedings, Part I
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Book and Conference Proceedings
Advances in Cryptology – EUROCRYPT 2024
43rd Annual International Conference on the Theory and Applications of Cryptographic Techniques, Zurich, Switzerland, May 26–30, 2024, Proceedings, Part VII
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Living Reference Work Entry In depth
Differential Fault Analysis
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Chapter and Conference Paper
On-Line/Off-Line DCR-Based Homomorphic Encryption and Applications
On-line/off-line encryption schemes enable the fast encryption of a message from a pre-computed coupon. The paradigm was put forward in the case of digital signatures.
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Chapter and Conference Paper
Blind Rotation in Fully Homomorphic Encryption with Extended Keys
Most solutions for fully homomorphic encryption rely on hard lattice problems. Accordingly, the resulting ciphertexts must contain a certain level of noise to guarantee the security of the encryption. Running ...
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Chapter and Conference Paper
Programmable Bootstrap** Enables Efficient Homomorphic Inference of Deep Neural Networks
In many cases, machine learning and privacy are perceived to be at odds. Privacy concerns are especially relevant when the involved data are sensitive. This paper deals with the privacy-preserving inference of...
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Chapter and Conference Paper
Balanced Non-adjacent Forms
Integers can be decomposed in multiple ways. The choice of a recoding technique is generally dictated by performance considerations. The usual metric for optimizing the decomposition is the Hamming weight. In ...
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Chapter and Conference Paper
PINFER: Privacy-Preserving Inference
The foreseen growing role of outsourced machine learning services is raising concerns about the privacy of user data. This paper proposes a variety of protocols for privacy-preserving regression and classific...
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Chapter and Conference Paper
Private Data Aggregation over Selected Subsets of Users
Aggregator-oblivious ( \(\mathsf {AO}\) ) encryption allows the computation of aggregate statistics over sens...
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Chapter and Conference Paper
Decentralized Policy-Hiding ABE with Receiver Privacy
Attribute-based encryption (ABE) enables limiting access to encrypted data to users with certain attributes. Different aspects of ABE were studied, such as the multi-authority setting (MA-ABE), and policy hidi...
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Chapter and Conference Paper
Function-Revealing Encryption
Multi-input functional encryption is a paradigm that allows an authorized user to compute a certain function—and nothing more—over multiple plaintexts given only their encryption. The particular case of two-in...
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Chapter and Conference Paper
Private yet Efficient Decision Tree Evaluation
Decision trees are a popular method for a variety of machine learning tasks. A typical application scenario involves a client providing a vector of features and a service provider (server) running a trained de...
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Chapter and Conference Paper
Privacy-Preserving Ridge Regression with only Linearly-Homomorphic Encryption
Linear regression with 2-norm regularization (i.e., ridge regression) is an important statistical technique that models the relationship between some explanatory values and an outcome value using a linear functio...
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Chapter and Conference Paper
Differential Attacks on Deterministic Signatures
Deterministic signature schemes are becoming more popular, as illustrated by the deterministic variant of ECDSA and the popular EdDSA scheme, since eliminating the need for high-quality randomness might have s...
