| 2023 | Securing Supply Chain: A Comprehensive Blockchain-based Framework and Risk Assessment. | Leila Rashidi, Windhya Hansinie Rankothge, Hesamodin Mohammadian, Rashid Hussain Khokhar, Brian Frei, Shawn Ellis, Lago Freitas, Ali Akbar Ghorbani |
| 2023 | Privacy-Preserving Reputation System Against Dishonest Queries. | Kittiphop Phalakarn, Toru Nakamura, Takamasa Isohara |
| 2023 | Protection against Ransomware in Industrial Control Systems through Decentralization using Blockchain. | Alireza Parvizimosaed, Hamid Azad, Daniel Amyot, John Mylopoulos |
| 2023 | AMF: Efficient Browser Interprocess Communication Fuzzing. | Gaoning Pan, Tianxiang Luo, Yiming Tao, Xiao Lei, Shuangxi Chen, Hui Liu, Chunming Wu |
| 2023 | Verifiable and Privacy-Preserving Ad Exchange for Smart Targeted Advertising. | Brennan Mosher, Xiangman Li, Yuanyuan He, Jianbing Ni |
| 2023 | Re-visited Privacy-Preserving Machine Learning. | Atsuko Miyaji, Tatsuhiro Yamatsuki, Bingchang He, Shintaro Yamashita, Tomoaki Mimoto |
| 2023 | Unmasking the Dominant Threat of Data Manipulation Attack on Implantable Cardioverter Defibrillators. | Anisha Mitra, Dipanwita Roy Chowdhury |
| 2023 | Risk Oriented Resource Allocation in Robotic Swarm. | Yakov Mallah, Yuval Elovici, Asaf Shabtai |
| 2023 | Layered Security Analysis for Container Images: Expanding Lightweight Pre-Deployment Scanning. | Shafayat H. Majumder, Sourov Jajodia, Suryadipta Majumdar, Md. Shohrab Hossain |
| 2023 | A Secure Distributed Learning Framework Using Homomorphic Encryption. | Stephen Ly, Yuan Cheng, Haiquan Chen, Ted Krovetz |
| 2023 | Systematizing the State of Knowledge in Detecting Privacy Sensitive Information in Unstructured Texts using Machine Learning. | Sascha Lbner, Welderufael B. Tesfay, Vanessa Bracamonte, Toru Nakamura |
| 2023 | Efficient Homomorphic Convolution for Secure Deep Learning Inference. | Xiaoyuan Liu, Hongwei Li, Qinyuan Qian, Hao Ren |
| 2023 | RAPTOR: Advanced Persistent Threat Detection in Industrial IoT via Attack Stage Correlation. | Ayush Kumar, Vrizlynn L. L. Thing |
| 2023 | Course-Correct to DeFi Lacking Default Deficiency. | David W. Kravitz, Mollie Z. Halverson |
| 2023 | Extended k | Masaya Kobayashi, Atsushi Fujioka, Koji Chida |
| 2023 | DDoS Attack Dataset (CICEV2023) against EV Authentication in Charging Infrastructure. | Yoonjib Kim, Saqib Hakak, Ali A. Ghorbani |
| 2023 | UCreDiSSiT: User Credibility Measurement incorporating Domain interest, Semantics in Social interactions, and Temporal factor. | Rashid Hussain Khokhar, Sajjad Dadkhah, Tianhao Zhao, Xichen Zhang, Ali A. Ghorbani |
| 2023 | Love or Hate? Share or Split? Privacy-Preserving Training Using Split Learning and Homomorphic Encryption. | Tanveer Khan, Khoa Nguyen, Antonis Michalas, Alexandros Bakas |
| 2023 | Improving Malicious PDF Detection with a Robust Stacking Ensemble Approach. | Ahmed Haj Abdel Khaleq, Miguel A. Garzn |
| 2023 | An Instance-based Transfer Learning Approach, Applied to Intrusion Detection. | Sonia Kawish, Habib Louafi, Yiyu Yao |
| 2023 | An Efficient Local Differential Privacy Scheme Using Bayesian Ridge Regression. | Andres Hernandez-Matamoros, Hiroaki Kikuchi |
| 2023 | PET-Exchange: A Privacy Enhanced Trading Exchange using Homomorphic Encryption. | David Hasselquist, Jacob Wahlman, Niklas Carlsson |
| 2023 | EL-GRILLO: Leaking Data Ultrasonically from Air-Gapped PCs via the Tiny Motherboard Buzzer. | Mordechai Guri |
| 2023 | Private UAV-Assisted IoT Data Collection: An Energy-Privacy Trade-off. | Benjamin Fenelon, Saeede Enayati, Hossein Pishro-Nik |
| 2023 | Exploration of Various Machine Learning Techniques for Identifying and Mitigating DDoS Attacks. | Olufunsho I. Falowo, Izunna Okpala, Emmanuel Kojo, Sylvia Worlali Azumah, Chengcheng Li |