A Study on 2D Photo-Realistic Facial Animation Generation Using 3D Facial Feature Points and Deep Neural Networks. - Kazuki Sato; Takashi Nose; Akira Ito 002; Yuya Chiba; Akinori Ito; Takahiro Shinozaki (IIH-MSP (2), 2017)

A Non-Reversible Insertion Method for Hardware Trojans Based on Path Delay Faults. - Akira Ito 002; Rei Ueno; Naofumi Homma; Takafumi Aoki (PROOFS, 2018)

On the Detectability of Hardware Trojans Embedded in Parallel Multipliers. - Akira Ito 002; Rei Ueno; Naofumi Homma; Takafumi Aoki (ISMVL, 2018)

Characterizing Parallel Multipliers for Detecting Hardware Trojans. - Akira Ito 002; Rei Ueno; Naofumi Homma; Takafumi Aoki (FLAP, 2018)

Practical Side-Channel Based Model Extraction Attack on Tree-Based Machine Learning Algorithm. - Dirmanto Jap; Ville Yli-Mäyry; Akira Ito 002; Rei Ueno; Shivam Bhasin; Naofumi Homma (ACNS Workshops, 2020)

CycleGAN-Based High-Quality Non-Parallel Voice Conversion with Spectrogram and WaveRNN. - Aoi Kanagaki; Masaya Tanaka; Takashi Nose; Ryohei Shimizu; Akira Ito 002; Akinori Ito (GCCE, 2020)

Machine Learning and Hardware security: Challenges and Opportunities -Invited Talk-. - Francesco Regazzoni 001; Shivam Bhasin; Amir Alipour; Ihab Alshaer; Furkan Aydin; Aydin Aysu; Vincent Beroulle; Giorgio Di Natale; Paul D. Franzon; David Hély; Naofumi Homma; Akira Ito 002; et al. (ICCAD, 2020)

Effective Formal Verification for Galois-field Arithmetic Circuits with Multiple-Valued Characteristics. - Akira Ito 002; Rei Ueno; Naofumi Homma (ISMVL, 2020)

Extraction of Binarized Neural Network Architecture and Secret Parameters Using Side-Channel Information. - Ville Yli-Mäyry; Akira Ito 002; Naofumi Homma; Shivam Bhasin; Dirmanto Jap (ISCAS, 2021)

A Formal Approach to Identifying Hardware Trojans in Cryptographic Hardware. - Akira Ito 002; Rei Ueno; Naofumi Homma (ISMVL, 2021)

Machine-learning-based Quality-level-estimation System for Inspecting Steel Microstructures. - Hiromi Nishiura; Atsushi Miyamoto; Akira Ito 002; Shogo Suzuki; Kouhei Fujii; Hiroshi Morifuji; Hiroyuki Takatsuka (MVA, 2021)

Toward Optimal Deep-Learning Based Side-Channel Attacks: Probability Concentration Inequality Loss and Its Usage. - Akira Ito 002; Rei Ueno; Naofumi Homma (IACR Cryptol. ePrint Arch., 2021)

Fault-Injection Attacks against NIST's Post-Quantum Cryptography Round 3 KEM Candidates. - Keita Xagawa; Akira Ito 002; Rei Ueno; Junko Takahashi; Naofumi Homma (IACR Cryptol. ePrint Arch., 2021)

An Algebraic Approach to Verifying Galois-Field Arithmetic Circuits with Multiple-Valued Characteristics. - Akira Ito 002; Rei Ueno; Naofumi Homma (IEICE Trans. Inf. Syst., 2021)

Imbalanced Data Problems in Deep Learning-Based Side-Channel Attacks: Analysis and Solution. - Akira Ito 002; Kotaro Saito; Rei Ueno; Naofumi Homma (IEEE Trans. Inf. Forensics Secur., 2021)

On the Success Rate of Side-Channel Attacks on Masked Implementations: Information-Theoretical Bounds and Their Practical Usage. - Akira Ito 002; Rei Ueno; Naofumi Homma (IACR Cryptol. ePrint Arch., 2022)

Efficient Formal Verification of Galois-Field Arithmetic Circuits Using ZDD Representation of Boolean Polynomials. - Akira Ito 002; Rei Ueno; Naofumi Homma (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Perceived Information Revisited New Metrics to Evaluate Success Rate of Side-Channel Attacks. - Akira Ito 002; Rei Ueno; Naofumi Homma (IACR Trans. Cryptogr. Hardw. Embed. Syst., 2022)

One Truth Prevails: A Deep-learning Based Single-Trace Power Analysis on RSA-CRT with Windowed Exponentiation. - Kotaro Saito; Akira Ito 002; Rei Ueno; Naofumi Homma (IACR Trans. Cryptogr. Hardw. Embed. Syst., 2022)

Curse of Re-encryption: A Generic Power/EM Analysis on Post-Quantum KEMs. - Rei Ueno; Keita Xagawa; Yutaro Tanaka; Akira Ito 002; Junko Takahashi; Naofumi Homma (IACR Trans. Cryptogr. Hardw. Embed. Syst., 2022)

Can Inputs' Reconstruction Information Be Coded into Machine Learning Model's Outputs? - Kazuki Iwahana; Osamu Saisho; Takayuki Miura; Akira Ito 002 (ESORICS Workshops (2), 2023)

Formal Analysis of Non-profiled Deep-learning Based Side-channel Attacks. - Akira Ito 002; Rei Ueno; Rikuma Tanaka; Naofumi Homma (IACR Cryptol. ePrint Arch., 2023)

Multiple-Valued Plaintext-Checking Side-Channel Attacks on Post-Quantum KEMs. - Yutaro Tanaka; Rei Ueno; Keita Xagawa; Akira Ito 002; Junko Takahashi; Naofumi Homma (IACR Trans. Cryptogr. Hardw. Embed. Syst., 2023)

Homomorphic encryption for stochastic computing. - Ryusuke Koseki; Akira Ito 002; Rei Ueno; Mehdi Tibouchi; Naofumi Homma (J. Cryptogr. Eng., 2023)

Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching. - Akira Ito 002; Masanori Yamada; Atsutoshi Kumagai (CoRR, 2024)

Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods. - Akira Ito 002; Masanori Yamada; Atsutoshi Kumagai (ICLR, 2025)

Perceived Information Revisited II Information-Theoretical Analysis of Deep-Learning Based Side-Channel Attacks. - Akira Ito 002; Rei Ueno; Naofumi Homma (IACR Trans. Cryptogr. Hardw. Embed. Syst., 2025)

All You Need is XOR-Convolution: A Generalized Higher-Order Side-Channel Attack with Application to XEX/XE-based Encryptions. - Rei Ueno; Akira Ito 002; Yosuke Todo; Akiko Inoue; Kazuhiko Minematsu; Hibiki Ishikawa; Naofumi Homma (IACR Trans. Cryptogr. Hardw. Embed. Syst., 2025)