Kota Yoshida
Orcid: 0000-0003-1293-6415
According to our database1,
Kota Yoshida
authored at least 32 papers
between 2015 and 2024.
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Bibliography
2024
Data Poisoning Attack against Neural Network-Based On-Device Learning Anomaly Detector by Physical Attacks on Sensors.
Sensors, October, 2024
Proc. Priv. Enhancing Technol., January, 2024
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2024
IACR Cryptol. ePrint Arch., 2024
Defense Method Against Adversarial Example Attacks using Thermal Noise of a CMOS Image Sensor.
Proceedings of the 2024 IEEE SENSORS, Kobe, Japan, October 20-23, 2024, 2024
Lightweight Object Detection Model for a CMOS Image Sensor with Binary Feature Extraction.
Proceedings of the 2024 IEEE SENSORS, Kobe, Japan, October 20-23, 2024, 2024
Evaluation of Accuracy and Security on Deep Learning Model by Utilizing K-Anonymization With Attribute Selection for Reducing Computational Cost.
Proceedings of the 13th IEEE Global Conference on Consumer Electronics, 2024
Proceedings of the Applied Cryptography and Network Security Workshops, 2024
Incorporating Cluster Analysis of Feature Vectors for Non-profiled Deep-learning-Based Side-Channel Attacks.
Proceedings of the Applied Cryptography and Network Security Workshops, 2024
2023
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., November, 2023
Profiling Deep Learning Side-Channel Attacks Using Multi-Label against AES Circuits with RSM Countermeasure.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., March, 2023
Backdoor Attack on Deep Neural Networks Triggered by Fault Injection Attack on Image Sensor Interface.
Sensors, 2023
Evaluation of Model Quantization Method on Vitis-AI for Mitigating Adversarial Examples.
IEEE Access, 2023
Multispectral Pedestrian Detection with Visible and Far-infrared Images Under Drifting Ambient Light and Temperature.
Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023
Evaluation of Membership Inference Attack Against Federated Learning With Differential Privacy on Edge Devices.
Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023
2022
Adversarial Scan Attack against Scan Matching Algorithm for Pose Estimation in LiDAR-Based SLAM.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2022
Experimental Study of Fault Injection Attack on Image Sensor Interface for Triggering Backdoored DNN Models.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2022
Fault Injection Attacks Utilizing Waveform Pattern Matching against Neural Networks Processing on Microcontroller.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2022
Deep Learning-Based Side-Channel Attacks against Software-Implemented RSA using Binary Exponentiation with Dummy Multiplication.
Proceedings of the 4th International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2022), 2022
Deep Learning Side-Channel Attacks against Hardware-Implemented Lightweight Cipher Midori 64.
Proceedings of the 4th International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2022), 2022
Fundamental Study of Adversarial Examples Created by Fault Injection Attack on Image Sensor Interface.
Proceedings of the Asian Hardware Oriented Security and Trust Symposium, 2022
2021
Microprocess. Microsystems, November, 2021
Model Reverse-Engineering Attack against Systolic-Array-Based DNN Accelerator Using Correlation Power Analysis.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2021
Towards Trusted IoT Sensing Systems: Implementing PUF as Secure Key Generator for Root of Trust and Message Authentication Code.
Proceedings of the HASP '21: Workshop on Hardware and Architectural Support for Security and Privacy, 2021
Proceedings of the Asian Hardware Oriented Security and Trust Symposium, 2021
Model Evasion Attacks Against Partially Encrypted Deep Neural Networks in Isolated Execution Environment.
Proceedings of the Applied Cryptography and Network Security Workshops, 2021
2020
Model Reverse-Engineering Attack using Correlation Power Analysis against Systolic Array Based Neural Network Accelerator.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
Disabling Backdoor and Identifying Poison Data by using Knowledge Distillation in Backdoor Attacks on Deep Neural Networks.
Proceedings of the AISec@CCS 2020: Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security, 2020
2019
Model-Extraction Attack Against FPGA-DNN Accelerator Utilizing Correlation Electromagnetic Analysis.
Proceedings of the 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2019
2018
2015
Pilot-scale exhaust gas treatment for a glass manufacturing system using a plasma combined semi-dry chemical process.
Proceedings of the 2015 IEEE Industry Applications Society Annual Meeting, 2015