3 papers
cs.AR2026
ZK-Flex: A Flexible and Scalable Framework for Accelerating Zero-Knowledge Proofs
Adiwena Putra, Cuong Manh Duong, Anh Quang Pham +1
Zero-knowledge proofs (ZKP) allows a prover to convince a verifier of computational correctness without revealing private data, ensuring both privacy and verifiability. However, pr…
cs.AR2025
ABC-FHE : A Resource-Efficient Accelerator Enabling Bootstrappable Parameters for Client-Side Fully Homomorphic Encryption
Sungwoong Yune, Hyojeong Lee, Adiwena Putra +4
As the demand for privacy-preserving computation continues to grow, fully homomorphic encryption (FHE)-which enables continuous computation on encrypted data-has become a critical…
cs.AR2025
EXION: Exploiting Inter- and Intra-Iteration Output Sparsity for Diffusion Models
Jaehoon Heo, Adiwena Putra, Jieon Yoon +4
Over the past few years, diffusion models have emerged as novel AI solutions, generating diverse multi-modal outputs from text prompts. Despite their capabilities, they face challe…