The following two papers have been accepted. Congratulations!

• Kazuki Nomoto, Takuya Watanabe, Eitaro Shioji, Mitsuaki Akiyama, Tatsuya Mori, “Browser Permission Mechanisms Demystified” The Network and Distributed System Security Symposium (NDSS 2023), February 2023 Tier-1 Top conference
• Tianying Xie, Hayato Yamana, and Tatsuya Mori, “CHE: Channel-wise Homomorphic Encryption for Ciphertext Inference in Convolutional Neural Network,” IEEE ACCESS

The following four papers have been accepted to each conference. Congratulations!

• Atsuko Natatsuka, Ryo Iijima, Takuya Watanabe, Mitsuaki Akiyama, Tetsuya Sakai, Tatsuya Mori, “Understanding the Behavior Transparency of Voice Assistant Applications Using the ChatterBox Framework,” Proceedings of the 25th International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2022), October 2022  (Acceptance rate=35/139=25.2%)
• Kazuki Nomoto , Mitsuaki Akiyama, Masashi Eto, Atsuo Inomata, and Tatsuya Mori, “On the Feasibility of Linking Attack to Google/Apple Exposure Notification Framework,” Proceedings of the 22nd Privacy Enhancing Technologies Symposium (PETS 2022), July 2022 (Acceptance rate=37/168=22.0%)
• Ayako A. Hasegawa, Naomi Yamashita, Tatsuya Mori, Daisuke Inoue, Mitsuaki Akiyama, “Understanding Non-Experts’ Security- and Privacy-Related Questions on a Q&A Site,” Proceedings of the Eighteenth Symposium on Usable Privacy and Security (SOUPS 2022), August 2022 (Acceptance rate=37/133=27.8%)
• Kentaro Sako, Shin’ichiro Matsuo, Tatsuya Mori, “Distributed Random Number Generation Method on Smart Contracts,” Proceedings of the 4th Blockchain and Internet of Things Conference (BIOTC 2022) July 2022

科研費の基盤研究（A）課題「自動運転システムに対する敵対的入力の理解と対策技術の開発」が採択されました！
自動運転車や自律飛行ドローンを対象として、AI/システムセキュリティの課題に取り組みます。共同研究者として、筑波大学の佐久間淳先生、電通大の菅原健先生、澤田賢治先生に入って頂いています。

A poster paper submitted to TheWecConf 2022 by Chun-Ming Chang, a double degree program student coming from National Taiwan University, has been accepted. Congratulations!

Chun-Ming Chang, Hsu-Chun Hsiao, Timothy Lynar, and Tatsuya Mori, “Know Your Victim: Tor Browser Setting Identification via Network Traffic Analysis, ” Proceeding the ACM Web Conference (TheWebConf 2022)