Kota Yoshida

43 papers C 3Misc 1Journal 18Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adversarial Examples on Vertical Federated Split Learning by Using Gradient Sign Prediction.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Kota Yoshida, Takeshi Fujino
2025 — conf
Arithmetic Masking Countermeasure to Mitigate Side-Channel-Based Model Extraction Attack on DNN Accelerator.
ACNS Workshops (1)
Hirokatsu Yamasaki, Kota Yoshida, Yuta Fukuda, Takeshi Fujino
2025 J jnl
CA-SCA: Non-Profiled Deep Learning-Based Side-Channel Attacks by Using Cluster Analysis.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Yuta Fukuda, Kota Yoshida, Takeshi Fujino
2025 — conf
Can KANs Do It? Toward Interpretable Deep Learning-Based Side-Channel Analysis.
ACNS Workshops (1)
Kota Yoshida, Sengim Karayalcin, Stjepan Picek
2025 J jnl
Mitigation of Membership Inference Attack by Knowledge Distillation on Federated Learning.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Rei Ueda, Tsunato Nakai, Kota Yoshida, Takeshi Fujino
2025 J jnl
Multi-Bit DDLA: Non-Profiled Deep Learning Side-Channel Attacks Using Multi-Bit Label against Hardware-Implemented AES.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Yuta Fukuda, Kota Yoshida, Takeshi Fujino
2025 — conf
Operation Shuffling with Multiple S-Boxes Against Power Analysis Attacks.
ICEIC
Shota Kajiya, Hiroki Nishikawa, Kota Yoshida, Ittetsu Taniguchi, Takao Onoye
2024 J jnl
Adversarial Examples Created by Fault Injection Attack on Image Sensor Interface.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Tatsuya Oyama, Kota Yoshida, Shunsuke Okura, Takeshi Fujino
2024 J jnl
Can KANs Do It? Toward Interpretable Deep Learning-based Side-channel Analysis.
IACR Cryptol. ePrint Arch.
Kota Yoshida, Sengim Karayalcin, Stjepan Picek
2024 J jnl
Data Poisoning Attack against Neural Network-Based On-Device Learning Anomaly Detector by Physical Attacks on Sensors.
Sensors
Takahito Ino, Kota Yoshida, Hiroki Matsutani, Takeshi Fujino
2024 — conf
Defense Method Against Adversarial Example Attacks using Thermal Noise of a CMOS Image Sensor.
IEEE SENSORS
Yuki Rogi, Kota Yoshida, Tatsuya Oyama, Takeshi Fujino, Shunsuke Okura
2024 — conf
Evaluation of Accuracy and Security on Deep Learning Model by Utilizing K-Anonymization With Attribute Selection for Reducing Computational Cost.
GCCE
Rei Ueda, Kota Yoshida, Takeshi Fujino
2024 — conf
Incorporating Cluster Analysis of Feature Vectors for Non-profiled Deep-learning-Based Side-Channel Attacks.
ACNS Workshops (1)
Yuta Fukuda, Kota Yoshida, Takeshi Fujino
2024 — conf
Lightweight Object Detection Model for a CMOS Image Sensor with Binary Feature Extraction.
IEEE SENSORS
Keiichiro Kuroda, Yudai Morikaku, Yu Osuka, Ryoya Iegaki, Kota Yoshida, Shunsuke Okura
2024 — conf
Model Extraction Attack Without Natural Images.
ACNS Workshops (2)
Kota Yoshida, Takeshi Fujino
2024 J jnl
SEDMA: Self-Distillation with Model Aggregation for Membership Privacy.
Proc. Priv. Enhancing Technol.
Tsunato Nakai, Ye Wang, Kota Yoshida, Takeshi Fujino
2023 J jnl
Backdoor Attack on Deep Neural Networks Triggered by Fault Injection Attack on Image Sensor Interface.
Sensors
Tatsuya Oyama, Shunsuke Okura, Kota Yoshida, Takeshi Fujino
2023 — conf
Evaluation of Membership Inference Attack Against Federated Learning With Differential Privacy on Edge Devices.
GCCE
Rei Ueda, Tsunato Nakai, Kota Yoshida, Takeshi Fujino
2023 J jnl
Evaluation of Model Quantization Method on Vitis-AI for Mitigating Adversarial Examples.
IEEE Access
Yuta Fukuda, Kota Yoshida, Takeshi Fujino
2023 — conf
Multispectral Pedestrian Detection with Visible and Far-infrared Images Under Drifting Ambient Light and Temperature.
SENSORS
Masato Okuda, Kota Yoshida, Takeshi Fujino
2023 J jnl
Practical aspects on non-profiled deep-learning side-channel attacks against AES software implementation with two types of masking countermeasures including RSM.
J. Cryptogr. Eng.
Kunihiro Kuroda, Yuta Fukuda, Kota Yoshida, Takeshi Fujino
2023 — ed.
Proceedings of the 5th International Symposium on Advanced Technologies and Applications in the Internet of Things, Kusatsu and Virtual, Japan, August 28-29, 2023.
ATAIT
Kota Yoshida
2023 J jnl
Profiling Deep Learning Side-Channel Attacks Using Multi-Label against AES Circuits with RSM Countermeasure.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Yuta Fukuda, Kota Yoshida, Hisashi Hashimoto, Kunihiro Kuroda, Takeshi Fujino
2022 J jnl
Adversarial Scan Attack against Scan Matching Algorithm for Pose Estimation in LiDAR-Based SLAM.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Kota Yoshida, Masaya Hojo, Takeshi Fujino
2022 — conf
Deep Learning Side-Channel Attacks against Hardware-Implemented Lightweight Cipher Midori 64.
ATAIT
Madoka Sakou, Kunihiro Kuroda, Yuta Fukuda, Kota Yoshida, Takeshi Fujino
2022 — conf
Deep Learning-Based Side-Channel Attacks against Software-Implemented RSA using Binary Exponentiation with Dummy Multiplication.
ATAIT
Seiya Shimada, Kunihiro Kuroda, Yuta Fukuda, Kota Yoshida, Takeshi Fujino
2022 J jnl
Experimental Study of Fault Injection Attack on Image Sensor Interface for Triggering Backdoored DNN Models.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Tatsuya Oyama, Shunsuke Okura, Kota Yoshida, Takeshi Fujino
2022 J jnl
Fault Injection Attacks Utilizing Waveform Pattern Matching against Neural Networks Processing on Microcontroller.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Yuta Fukuda, Kota Yoshida, Takeshi Fujino
2022 — conf
Fundamental Study of Adversarial Examples Created by Fault Injection Attack on Image Sensor Interface.
AsianHOST
Tatsuya Oyama, Kota Yoshida, Shunsuke Okura, Takeshi Fujino
2021 — conf
Backdoor Attack on Deep Neural Networks Triggered by Fault Injection Attack on Image Sensor Interface.
ASHES@CCS
Tatsuya Oyama, Shunsuke Okura, Kota Yoshida, Takeshi Fujino
2021 — conf
Deep Learning Side-Channel Attacks Against Lightweight SCA Countermeasure RSM-AES.
AsianHOST
Yuta Fukuda, Kota Yoshida, Hisashi Hashimoto, Takeshi Fujino
2021 J jnl
Deep learning side-channel attack against hardware implementations of AES.
Microprocess. Microsystems
Takaya Kubota, Kota Yoshida, Mitsuru Shiozaki, Takeshi Fujino
2021 — conf
Model Evasion Attacks Against Partially Encrypted Deep Neural Networks in Isolated Execution Environment.
ACNS Workshops
Kota Yoshida, Takeshi Fujino
2021 J jnl
Model Reverse-Engineering Attack against Systolic-Array-Based DNN Accelerator Using Correlation Power Analysis.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Kota Yoshida, Mitsuru Shiozaki, Shunsuke Okura, Takaya Kubota, Takeshi Fujino
2021 — conf
Practical Aspects on Non-profiled Deep-learning Side-channel Attacks against AES Software Implementation with Two Types of Masking Countermeasures including RSM.
ASHES@CCS
Kunihiro Kuroda, Yuta Fukuda, Kota Yoshida, Takeshi Fujino
2021 — conf
Towards Trusted IoT Sensing Systems: Implementing PUF as Secure Key Generator for Root of Trust and Message Authentication Code.
HASP@MICRO
Kota Yoshida, Kuniyasu Suzaki, Takeshi Fujino
2020 — conf
Disabling Backdoor and Identifying Poison Data by using Knowledge Distillation in Backdoor Attacks on Deep Neural Networks.
AISec@CCS
Kota Yoshida, Takeshi Fujino
2020 — conf
Joking AI via Visual Cues.
HCI (37)
Ryota Suzuki, Kota Yoshida, Munetaka Minoguchi, Kazuki Tsubura, Takumu Ikeya, Akio Nakamura, Hirokatsu Kataoka
2020 C conf
Model Reverse-Engineering Attack using Correlation Power Analysis against Systolic Array Based Neural Network Accelerator.
ISCAS
Kota Yoshida, Takaya Kubota, Shunsuke Okura, Mitsuru Shiozaki, Takeshi Fujino
2019 C conf
Deep Learning Side-Channel Attack Against Hardware Implementations of AES.
DSD
Takaya Kubota, Kota Yoshida, Mitsuru Shiozaki, Takeshi Fujino
2019 Misc conf
Model-Extraction Attack Against FPGA-DNN Accelerator Utilizing Correlation Electromagnetic Analysis.
FCCM
Kota Yoshida, Takaya Kubota, Mitsuru Shiozaki, Takeshi Fujino
2018 J jnl
Neural Joking Machine : Humorous image captioning.
CoRR
Kota Yoshida, Munetaka Minoguchi, Kenichiro Wani, Akio Nakamura, Hirokatsu Kataoka
2015 C conf
Pilot-scale exhaust gas treatment for a glass manufacturing system using a plasma combined semi-dry chemical process.
IAS
Hashira Yamamoto, Yuri Yamamoto, Tomoyuki Kuroki, Kota Yoshida, Hidekatsu Fujishima, Masaaki Okubo