Subporpholactone, Subporpholactam, Imidazolosubporphyrin, and Iridium Complexes of Imidazolosubporphyrin: Formation of Iridium Carbene Complexes von Yoshida, Kota, Osuka, Atsuhiro

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Data Poisoning Attack against Neural Network-Based On-Device Learning Anomaly Detector by Physical Attacks on Sensors von Ino, Takahito, Yoshida, Kota, Matsutani, Hiroki, Fujino, Takeshi

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Backdoor Attack on Deep Neural Networks Triggered by Fault Injection Attack on Image Sensor Interface von Oyama, Tatsuya, Okura, Shunsuke, Yoshida, Kota, Fujino, Takeshi

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Adversarial Examples Created by Fault Injection Attack on Image Sensor Interface von OYAMA, Tatsuya, YOSHIDA, Kota, OKURA, Shunsuke, FUJINO, Takeshi

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CA-SCA: Non-profiled Deep Learning-based Side-channel Attacks by using Cluster Analysis von FUKUDA, Yuta, YOSHIDA, Kota, FUJINO, Takeshi

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Multi-Bit DDLA: Non-Profiled Deep Learning Side-Channel Attacks Using Multi-bit Label Against Hardware-Implemented AES von FUKUDA, Yuta, YOSHIDA, Kota, FUJINO, Takeshi

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Mitigation of Membership Inference Attack by Knowledge Distillation on Federated Learning von UEDA, Rei, NAKAI, Tsunato, YOSHIDA, Kota, FUJINO, Takeshi

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Peripherally Hexasulfanylated Subporphyrins von Yoshida, Kota, Osuka, Atsuhiro

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Pyrrole‐Modified Subporphyrins Bearing a Sulfur‐Containing Heterocyclic Unit von Yoshida, Kota, Osuka, Atsuhiro

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Experimental Study of Fault Injection Attack on Image Sensor Interface for Triggering Backdoored DNN Models von OYAMA, Tatsuya, OKURA, Shunsuke, YOSHIDA, Kota, FUJINO, Takeshi

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Fault Injection Attacks Utilizing Waveform Pattern Matching against Neural Networks Processing on Microcontroller von FUKUDA, Yuta, YOSHIDA, Kota, FUJINO, Takeshi

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Vision-Based Classification of Mosquito Species: Comparison of Conventional and Deep Learning Methods von Okayasu, Kazushige, Yoshida, Kota, Fuchida, Masataka, Nakamura, Akio

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Adversarial Scan Attack against Scan Matching Algorithm for Pose Estimation in LiDAR-Based SLAM von YOSHIDA, Kota, HOJO, Masaya, FUJINO, Takeshi

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Combined Experimental and Theoretical Investigations on Optical Activities of Möbius Aromatic and Möbius Antiaromatic Hexaphyrin Phosphorus Complexes von Mori, Tadashi, Tanaka, Takayuki, Higashino, Tomohiro, Yoshida, Kota, Osuka, Atsuhiro

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Practical aspects on non-profiled deep-learning side-channel attacks against AES software implementation with two types of masking countermeasures including RSM von Kuroda, Kunihiro, Fukuda, Yuta, Yoshida, Kota, Fujino, Takeshi

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Image Classification Using Neural Network for Feature-Extractable CMOS Image Sensor von Osuka, Yu, Yoshida, Kota, Okura, Shunsuke

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Evaluation of Model Quantization Method on Vitis-AI for Mitigating Adversarial Examples von Fukuda, Yuta, Yoshida, Kota, Fujino, Takeshi

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Profiling Deep Learning Side-Channel Attacks Using Multi-Label against AES Circuits with RSM Countermeasure von FUKUDA, Yuta, YOSHIDA, Kota, HASHIMOTO, Hisashi, KURODA, Kunihiro, FUJINO, Takeshi

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A Feasibility Study of Data Poisoning against On-device Learning Edge AI by Physical Attack against Sensors von Ino, Takahito, Yoshida, Kota, Matsutani, Hiroki, Fujino, Takeshi

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Synthesis and Optical Features of Axially and Peripherally Substituted Subporphyrins. A Paradigmatic Example of Charge Transfer versus Exciplex States von Winterfeld, Kim A, Lavarda, Giulia, Yoshida, Kota, Bayerlein, Maximilian J, Kise, Koki, Tanaka, Takayuki, Osuka, Atsuhiro, Guldi, Dirk M, Torres, Tomás, Bottari, Giovanni

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