TL;DR
A watermarking technique is proposed for RLWE-based HE ciphertexts using the roots of a linear equation and is resilient to both homomorphic additive and multiplicative operations, while supporting zero-bit watermarking.
This work presents a framework that reformulates HE-aware model design as a constrained neural architecture search problem, where the objective is to identify architectures that are both cryptographically feasible and computationally efficient while preserving task performance.
This work identifies homomorphic multiplication as the most error-sensitive operation in practical HE pipelines and characterize how faults propagate and amplify through it, exposing a critical robustness vulnerability and motivating the need for more resilient HE deployments.
Gentry’s original blueprint for the construction of fully homomorphic encryption (FHE) starts from a somewhat homomorphic encryption scheme, that supports the homomorphic evaluation of arithmetic circuits of moderate multiplicative depth up to L, and whose decryption circuit itself can furthermore be “squashed” to a mu...
Fully Homomorphic Encryption (FHE) enables computation on encrypted data, preserving privacy throughout analysis. While its privacy is very strong, FHE is much slower to execute than the original computation. In particular, due to the recent success in accelerating its compute, the performance bottleneck shifts to the...
Anonymity infrastructures such as mix networks, anonymous storage, and privacy-preserving replication rely on public re-randomization: any party holding only public information can transform a ciphertext into a fresh-looking encryption of the same plaintext, hiding the linkage between the two. Classical ElGamal-based s...
Fully Homomorphic Encryption (FHE) enables computations on encrypted data without decryption, ensuring data privacy in cloud computing and preventing sensitive information leakage. In recent years, significant progress has been made in FHE research, resulting in the development of various FHE schemes and supporting lib...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
