Papers - Yoshioka, Kentaro

On the Realism of LiDAR Spoofing Attacks against Autonomous Driving Vehicle at High Speed and Long Distance

Takami Sato, Yuki Hayakawa, Ryo Suzuki, Kazuma Ikeda, Ozora Sako, Rokuto Nagata, Qi Chen, Kentaro Yoshioka

Network and Distributed System Security Symposium (NDSS)  2025.02

Research paper (international conference proceedings), Joint Work, Last author, Corresponding author, Accepted

PACiM: A Sparsity-Centric Hybrid Compute-in-Memory Architecture via Probabilistic Approximation

Wenlun Zhang, Shimpei Ando, Y.C. Chen, Satomi Miyagi, Shinya Takamaeda-Yamazaki, Kentaro Yoshioka

International Conference on Computer-Aided Design (IEEE)   2024.10

Research paper (international conference proceedings), Joint Work, Last author, Corresponding author, Accepted

A 818-4094 TOPS/W Capacitor-Reconfigured Analog CIM for Unified Acceleration of CNNs and Transformers

Kentaro Yoshioka

Journal of Solid State Circuits (IEEE)   2024.10

Research paper (scientific journal), Single Work, Lead author, Last author, Corresponding author, Accepted

A Saliency-Aware Analog Computing-In-Memory Macro with SAR-Embedded Saliency Detection Technique

Shimpei Ando, Satomi Miyagi, Y.C. Chen, Wenlun Zhang, Kentaro Yoshioka

International Conference on Solid State Devices and Materials  2024.09

Research paper (international conference proceedings), Joint Work, Last author, Corresponding author, Accepted

A 4.6–400 K Functional Ringamp-Based 250 MS/s 12 b Pipelined ADC With PVT-Robust Unity-Gain-Frequency-Aware Bias Calibration

Kaoru Yamashita, Benjamin Hershberg, Kentaro Yoshioka, Hiroki Ishikuro

Journal of Solid State Circuits (IEEE)  59 ( 3 ) 740 - 752 2024.03

Research paper (scientific journal), Joint Work, Corresponding author, Accepted

• Access to Document (DOI)

Poster: Intensity-Aware Chosen Pattern Injection LiDAR Spoofing Attack

Ozora Sako, Takami Sato, Yuki Hayakawa, Ryo Suzuki, Kazuma Ikeda, Ozora Sako, Rokuto Nagata, Qi Chen, Kentaro Yoshioka

Network and Distributed System Security Symposium (NDSS), Poster  2024.02

Research paper (international conference proceedings), Joint Work, Last author, Corresponding author, Accepted

LiDAR Spoofing Meets the New-Gen: Capability Improvements, Broken Assumptions, and New Attack Strategies

Takami Sato, Yuki Hayakawa, Ryo Suzuki, Yousuke Shiiki, Kentaro Yoshioka, Qi Chen

Network and Distributed System Security Symposium  2024.02

Research paper (international conference proceedings), Joint Work, Accepted

A 818-4094 TOPS/W Capacitor-Reconfigured CIM Macro for Unified Acceleration of CNNs and Transformers

Kentaro Yoshioka

International Solid-State Circuits Conference-(ISSCC) (IEEE)   2024.02

Research paper (international conference proceedings), Single Work, Lead author, Last author, Corresponding author, Accepted

WIP: An Adaptive High Frequency Removal Attack to Bypass Pulse Fingerprinting in New-Gen LiDARs

Yuki Hayakawa, Takami Sato, Ryo Suzuki, Kazuma Ikeda, Ozora Sako, Rokuto Nagata, Qi Chen, Kentaro Yoshioka

Symposium on Vehicle Security and Privacy  2024.02

Research paper (international conference proceedings), Joint Work, Last author, Corresponding author, Accepted

WIP: Towards Practical LiDAR Spoofing Attack against Vehicles Driving at Cruising Speeds

Ryo Suzuki, Takami Sato, Yuki Hayakawa, Kazuma Ikeda, Ozora Sako, Rokuto Nagata, Qi Chen, Kentaro Yoshioka

Symposium on Vehicle Security and Privacy  2024.02

Research paper (international conference proceedings), Joint Work, Last author, Corresponding author, Accepted

OSA-HCIM: On-The-Fly Saliency- Aware Hybrid SRAM CIM with Dynamic Precision Configuration

Yun Chen, Shimpei Ando, Daisuke Fujiki, Shinya Takamaeda, Kentaro Yoshioka

Asia and South Pacific Design Automation Conference (ASP-DAC) (IEEE)   2024.01

Research paper (international conference proceedings), Joint Work, Last author, Corresponding author, Accepted

深層学習と民生用3Dセンサ を用いた低コスト高精度肘関節可動域自動計測の試み

鈴木諒, 吉岡健太郎, 速川湧気,中原龍一, 那須義久,西田圭一郎, 尾崎敏文

中国四国整形外科会誌 35 ( 2 ) 219 - 224 2023.10

Research paper (scientific journal), Joint Work, Accepted

• Access to Document (DOI)

完全Web 化された医工連携の試み：関節可動域自動計測システムの開発

速川湧気, 吉岡健太郎, 鈴木諒,中原龍一, 那須義久, 西田圭一郎, 尾崎敏文

中国四国整形外科会誌 35 ( 2 ) 225 - 230 2023.10

Research paper (scientific journal), Joint Work, Accepted

A 4.6K to 400K Functional PVT-Robust Ringamp-Based 250MS/s 12b Pipelined ADC with Pole-Aware Bias Calibration

Kaoru Yamashita, Benjamin Hershberg, Kentaro Yoshioka, Hiroki Ishikuro

Custom Integrated Circuits Conference (IEEE)   2023.04

Research paper (international conference proceedings), Joint Work, Corresponding author, Accepted

WIP: Practical Removal Attacks on LiDAR-based Object Detection in Autonomous Driving

Takami Sato, Yuki Hayakawa, Ryo Suzuki, Yousuke Shiiki, Kentaro Yoshioka, Qi Chen

Symposium on Vehicle Security and Privacy  2023.02

Research paper (international conference proceedings), Joint Work, Accepted

Towards Large-Scale Measurement Study on LiDAR Spoofing Attacks against Object Detection

Takami Sato, Yuki Hayakawa, Ryo Suzuki, Yousuke Shiiki, Kentaro Yoshioka, Qi Chen

Computer and Communications Security (CCS) (ACM)   2022.11

Research paper (international conference proceedings), Joint Work, Accepted

Time-Based Current Source: A Highly Digital Robust Current Generator for Switched Capacitor Circuits

Kentaro Yoshioka

Transactions on Electronics (IEICE)  E105.C ( 7 ) 324 - 333 2022

Research paper (scientific journal), Single Work, Lead author, Last author, Corresponding author, Accepted

• Access to Document (DOI)

Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

W Bulten, K Kartasalo, PHC Chen, P Ström, H Pinckaers, K Nagpal, Y Cai, ...

Nature medicine (Nature)  28 ( January ) 154 - 163 2022

Research paper (scientific journal), Joint Work, Accepted

• Access to Document (DOI)

VCO-Based Comparator: A Fully Adaptive Noise Scaling Comparator for High-Precision and Low-Power SAR ADCs

K Yoshioka

IEEE Transactions on Very Large Scale Integration (VLSI) Systems 29 (12 … (IEEE Transactions on Very Large Scale Integration (VLSI) Systems)  29 ( 12 ) 2143 - 2152 2021.12

Research paper (scientific journal), Single Work, Lead author, Last author, Corresponding author, Accepted,  ISSN  10638210

　View Summary

A voltage-controlled oscillator (VCO)-based comparator that automatically adapts its noise performance reflecting the input voltage difference ( $\Delta V_{\text {in}}$ ) is presented. Such adaptive operation significantly reduces the power of high-precision comparators in successive-approximation-register (SAR) ADCs. $\Delta V_{\text {in}}$ is integrated as a time difference via the VCO, where the integration continues as long as the time difference is below a certain threshold, defined by the phase detector deadzone. Thus, when $\Delta V_{\text {in}}$ is large, the comparator operates as a low-power delay line-based comparator, and with small $\Delta V_{\text {in}}$ , the VCO oscillates to integrate the input signal and suppresses the comparator noise. The required oscillations to complete the comparison are inversely proportional to $\Delta V_{\text {in}}$ , realizing fully adaptive noise and power scaling. This article provides a detailed analysis and specific design guidelines of the VCO comparator. Moreover, the PVT drift tolerance and detailed circuit implementations are deeply discussed as well. For proof-of-concept, a 13-bit SAR ADC with the proposed VCO-based comparator was fabricated in 65-nm CMOS. By off-chip LMS calibration, the ADC achieves peak SNDR 66 dB at 1 MS/s with a peak FoM of 29 fJ/conv.-step.

• Access to Document (DOI)

Through the Looking Glass: Diminishing Occlusions in Robot Vision Systems with Mirror Reflections

K Yoshioka, H Okuni, TT Ta, A Sai

International Conference on Intelligent Robots and Systems (IEEE)     1578 - 1584 2021

Research paper (international conference proceedings), Joint Work, Lead author, Accepted,  ISSN  21530858

　View Summary

The quality of robot vision greatly affects the performance of automation systems, where occlusions stand as one of the biggest challenges. If the target is occluded from the sensor, detecting and grasping such objects become very challenging. For example, when multiple robot arms cooperate in a single workplace, occlusions will be created under the robot arm itself and hide objects underneath. While occlusions can be greatly reduced by installing multiple sensors, the increase in sensor costs cannot be ignored. Moreover, the sensor placements must be rearranged every time the robot operation routine and layout change.To diminish occlusions, we propose the first robot vision system with tilt-type mirror reflection sensing. By instantly tilting the sensor itself, we obtain two sensing results with different views: conventional direct line-of-sight sensing and non-line-of-sight sensing via mirror reflections. Our proposed system removes occlusions adaptively by detecting the occlusions in the scene and dynamically configuring the sensor tilt angle to sense the detected occluded area. Thus, sensor rearrangements are not required even after changes in robot operation or layout. Since the required hardware is the tilt-unit and a commercially available mirror, the cost increase is marginal. Through experiments, we show that our system can achieve a similar detection accuracy as systems with multiple sensors, regardless of the single-sensor implementation.

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