Optimized VHDL-based Karatsuba polynomial multiplier generator for GF(2n). - Muhammad Husni Santriaji; Arif Sasongko (ISPACS, 2015)

Live demonstration: MINDS - Meshed and internet networked devices system for smart home: Track selection: Embedded systems. - Trio Adiono; Maulana Yusuf Fathany; Rachmad Vidya Wicaksana Putra; Khilda Afifah; Muhammad Husni Santriaji; Braham Lawas Lawu; Syifaul Fuada (APCCAS, 2016)

GRAPE: Minimizing energy for GPU applications with performance requirements. - Muhammad Husni Santriaji; Henry Hoffmann (MICRO, 2016)

Formalin: Architectural Support for Power & Performance Aware GPU. - Muhammad Husni Santriaji; Henry Hoffmann (CCTA, 2018)

MERLOT: Architectural Support for Energy-Efficient Real-Time Processing in GPUs. - Muhammad Husni Santriaji; Henry Hoffmann (RTAS, 2018)

ALERT: Accurate Anytime Learning for Energy and Timeliness. - Chengcheng Wan 001; Muhammad Husni Santriaji; Eri Rogers; Henry Hoffmann; Michael Maire; Shan Lu 001 (CoRR, 2019)

ALERT: Accurate Learning for Energy and Timeliness. - Chengcheng Wan 001; Muhammad Husni Santriaji; Eri Rogers; Henry Hoffmann; Michael Maire; Shan Lu 001 (USENIX ATC, 2020)

TrojBits: A Hardware Aware Inference-Time Attack on Transformer-Based Language Models. - Mansour Al Ghanim; Muhammad Santriaji; Qian Lou; Yan Solihin (ECAI, 2023)

vFHE: Verifiable Fully Homomorphic Encryption with Blind Hash. - Qian Lou; Muhammad Santriaji; Ardhi Wiratama Baskara Yudha; Jiaqi Xue; Yan Solihin (CoRR, 2023)

Exploration of Bitflip's Effect on Deep Neural Network Accuracy in Plaintext and Ciphertext. - Kyle Thomas; Muhammad Santriaji; David Mohaisen; Yan Solihin (IEEE Micro, 2023)

DataSeal: Ensuring the Verifiability of Private Computation on Encrypted Data. - Muhammad Husni Santriaji; Jiaqi Xue; Qian Lou; Yan Solihin (CoRR, 2024)

DataSeal: Ensuring the Verifiability of Private Computation on Encrypted Data. - Muhammad Husni Santriaji; Jiaqi Xue; Yancheng Zhang; Qian Lou; Yan Solihin (SP, 2025)

NAPER: Fault Protection for Real-Time Resource-Constrained Deep Neural Networks. - Rian Adam Rajagede; Muhammad Husni Santriaji; Muhammad Arya Fikriansyah; Hilal Hudan Nuha; Yanjie Fu; Yan Solihin (CoRR, 2025)