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Kota Yoshida
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2020 – today
- 2024
- [j12]Tatsuya Oyama, Kota Yoshida, Shunsuke Okura, Takeshi Fujino:
Adversarial Examples Created by Fault Injection Attack on Image Sensor Interface. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 107(3): 344-354 (2024) - [j11]Tsunato Nakai, Ye Wang, Kota Yoshida, Takeshi Fujino:
SEDMA: Self-Distillation with Model Aggregation for Membership Privacy. Proc. Priv. Enhancing Technol. 2024(1): 494-508 (2024) - [j10]Takahito Ino, Kota Yoshida
, Hiroki Matsutani
Data Poisoning Attack against Neural Network-Based On-Device Learning Anomaly Detector by Physical Attacks on Sensors. Sensors 24(19): 6416 (2024) - [c19]Kota Yoshida, Takeshi Fujino:
Model Extraction Attack Without Natural Images. ACNS Workshops (2) 2024: 75-83 - [c18]Yuta Fukuda
Incorporating Cluster Analysis of Feature Vectors for Non-profiled Deep-learning-Based Side-Channel Attacks. ACNS Workshops (1) 2024: 84-101 - [c17]Rei Ueda, Kota Yoshida, Takeshi Fujino:
Evaluation of Accuracy and Security on Deep Learning Model by Utilizing K-Anonymization With Attribute Selection for Reducing Computational Cost. GCCE 2024: 347-351 - [i2]Kota Yoshida, Sengim Karayalcin, Stjepan Picek:
Can KANs Do It? Toward Interpretable Deep Learning-based Side-channel Analysis. IACR Cryptol. ePrint Arch. 2024: 1570 (2024) - 2023
- [j9]Yuta Fukuda
Evaluation of Model Quantization Method on Vitis-AI for Mitigating Adversarial Examples. IEEE Access 11: 87200-87209 (2023) - [j8]Yuta Fukuda, Kota Yoshida, Hisashi Hashimoto, Kunihiro Kuroda, Takeshi Fujino:
Profiling Deep Learning Side-Channel Attacks Using Multi-Label against AES Circuits with RSM Countermeasure. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 106(3): 294-305 (2023) - [j7]Kunihiro Kuroda
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. 13(4): 427-442 (2023) - [j6]Tatsuya Oyama, Shunsuke Okura
Backdoor Attack on Deep Neural Networks Triggered by Fault Injection Attack on Image Sensor Interface. Sensors 23(10): 4742 (2023) - [c16]Rei Ueda, Tsunato Nakai, Kota Yoshida, Takeshi Fujino:
Evaluation of Membership Inference Attack Against Federated Learning With Differential Privacy on Edge Devices. GCCE 2023: 1-5 - [c15]Masato Okuda
Multispectral Pedestrian Detection with Visible and Far-infrared Images Under Drifting Ambient Light and Temperature. SENSORS 2023: 1-4 - [e1]Kota Yoshida:
Proceedings of the 5th International Symposium on Advanced Technologies and Applications in the Internet of Things, Kusatsu and Virtual, Japan, August 28-29, 2023. CEUR Workshop Proceedings 3459, CEUR-WS.org 2023 [contents] - 2022
- [j5]Yuta Fukuda, Kota Yoshida, Takeshi Fujino:
Fault Injection Attacks Utilizing Waveform Pattern Matching against Neural Networks Processing on Microcontroller. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 105-A(3): 300-310 (2022) - [j4]Kota Yoshida, Masaya Hojo, Takeshi Fujino:
Adversarial Scan Attack against Scan Matching Algorithm for Pose Estimation in LiDAR-Based SLAM. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 105-A(3): 326-335 (2022) - [j3]Tatsuya Oyama, Shunsuke Okura, Kota Yoshida, Takeshi Fujino:
Experimental Study of Fault Injection Attack on Image Sensor Interface for Triggering Backdoored DNN Models. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 105-A(3): 336-343 (2022) - [c14]Tatsuya Oyama, Kota Yoshida, Shunsuke Okura, Takeshi Fujino:
Fundamental Study of Adversarial Examples Created by Fault Injection Attack on Image Sensor Interface. AsianHOST 2022: 1-6 - [c13]Seiya Shimada, Kunihiro Kuroda, Yuta Fukuda, Kota Yoshida, Takeshi Fujino:
Deep Learning-Based Side-Channel Attacks against Software-Implemented RSA using Binary Exponentiation with Dummy Multiplication. ATAIT 2022: 75-84 - [c12]Madoka Sakou, Kunihiro Kuroda, Yuta Fukuda, Kota Yoshida, Takeshi Fujino:
Deep Learning Side-Channel Attacks against Hardware-Implemented Lightweight Cipher Midori 64. ATAIT 2022: 85-94 - 2021
- [j2]Kota Yoshida
Model Reverse-Engineering Attack against Systolic-Array-Based DNN Accelerator Using Correlation Power Analysis. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 104-A(1): 152-161 (2021) - [j1]Takaya Kubota, Kota Yoshida
Deep learning side-channel attack against hardware implementations of AES. Microprocess. Microsystems 87: 103383 (2021) - [c11]Kota Yoshida
Model Evasion Attacks Against Partially Encrypted Deep Neural Networks in Isolated Execution Environment. ACNS Workshops 2021: 78-95 - [c10]Yuta Fukuda, Kota Yoshida, Hisashi Hashimoto, Takeshi Fujino:
Deep Learning Side-Channel Attacks Against Lightweight SCA Countermeasure RSM-AES. AsianHOST 2021: 1-6 - [c9]Kunihiro Kuroda, Yuta Fukuda, Kota Yoshida, Takeshi Fujino:
Practical Aspects on Non-profiled Deep-learning Side-channel Attacks against AES Software Implementation with Two Types of Masking Countermeasures including RSM. ASHES@CCS 2021: 29-40 - [c8]Tatsuya Oyama, Shunsuke Okura, Kota Yoshida, Takeshi Fujino:
Backdoor Attack on Deep Neural Networks Triggered by Fault Injection Attack on Image Sensor Interface. ASHES@CCS 2021: 63-72 - [c7]Kota Yoshida, Kuniyasu Suzaki, Takeshi Fujino:
Towards Trusted IoT Sensing Systems: Implementing PUF as Secure Key Generator for Root of Trust and Message Authentication Code. HASP@MICRO 2021: 4:1-4:8 - 2020
- [c6]Kota Yoshida
Disabling Backdoor and Identifying Poison Data by using Knowledge Distillation in Backdoor Attacks on Deep Neural Networks. AISec@CCS 2020: 117-127 - [c5]Ryota Suzuki, Kota Yoshida, Munetaka Minoguchi, Kazuki Tsubura, Takumu Ikeya, Akio Nakamura, Hirokatsu Kataoka:
Joking AI via Visual Cues. HCI (37) 2020: 422-436 - [c4]Kota Yoshida, Takaya Kubota, Shunsuke Okura, Mitsuru Shiozaki, Takeshi Fujino:
Model Reverse-Engineering Attack using Correlation Power Analysis against Systolic Array Based Neural Network Accelerator. ISCAS 2020: 1-5
2010 – 2019
- 2019
- [c3]Takaya Kubota, Kota Yoshida
Deep Learning Side-Channel Attack Against Hardware Implementations of AES. DSD 2019: 261-268 - [c2]Kota Yoshida
Model-Extraction Attack Against FPGA-DNN Accelerator Utilizing Correlation Electromagnetic Analysis. FCCM 2019: 318 - 2018
- [i1]Kota Yoshida, Munetaka Minoguchi, Kenichiro Wani, Akio Nakamura, Hirokatsu Kataoka:
Neural Joking Machine : Humorous image captioning. CoRR abs/1805.11850 (2018) - 2015
- [c1]Hashira Yamamoto
Pilot-scale exhaust gas treatment for a glass manufacturing system using a plasma combined semi-dry chemical process. IAS 2015: 1-7
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last updated on 2024-12-13 20:03 CET by the dblp team
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