What Security Challenges Will Shape Smart AI Terminals? Insights from the 2024 IEEE‑OPPO Pan‑Terminal Security Forum
The 2024 IEEE‑OPPO Pan‑Terminal Security Forum, held on March 29 at Xi'an Jiaotong University, gathers leading researchers to discuss AI, IoT, blockchain, and smart contract security, presenting cutting‑edge threats, defense strategies, and future technical capabilities for intelligent terminal products.
2024 IEEE‑OPPO Pan‑Terminal Security Forum
The forum, organized by OPPO Guangdong Mobile Communications Co., Ltd. and co‑hosted by IEEE Industrial Electronics Society, Xi'an Jiaotong University, Amper Lab, and OPPO’s Industry‑Academia Collaboration Department, took place on March 29, 2024 at the Innovation Harbor campus of Xi'an Jiaotong University.
Its purpose is to deepen communication between OPPO engineers and academic security experts, promote technology transfer, and explore security challenges in AI‑driven smart terminals, IoT, and blockchain.
Schedule Overview
Live streaming ran from 08:50 to 17:00, featuring introductions, keynote speeches, interactive Q&A, and a round‑table discussion on future security capabilities for pervasive services.
Keynote Speakers and Topics
Prof. Zhu Haoxin (Shanghai Jiao‑Tong University) – Intelligent‑Driven IoT Security Discusses hidden backdoor threats in image and NLP interfaces of IoT systems and hardware‑level bit‑flip attacks that can compromise AI decision making.
Prof. Shen Yulong (Xidian University) – Intrinsic Security for Smart Systems Analyzes endogenous security mechanisms across devices, services, networks, and systems to meet the security needs of cloud‑edge‑terminal collaboration.
Dr. Liu Zhengguang (Zhejiang University) – Smart Contract Vulnerability Detection Using Graph Neural Networks and Fuzzing Introduces static analysis and fuzz testing methods for detecting vulnerabilities in blockchain smart contracts, highlighting recent research achievements.
Dr. Hu Shengshan (Huazhong University of Science and Technology) – Deep Learning Adversarial Attack Research Explores transferability of adversarial examples and the robustness of large pre‑trained models against such attacks.
Dr. Cong Tianshuo (Tsinghua University) – Security and Privacy Threats in Generative AI Systems Examines content‑generation risks, detection and provenance techniques, and how generative AI can be leveraged for content security.
Dr. He Xinlei (Hong Kong University of Science and Technology, Guangzhou) – Opportunities and Challenges of Content Security in the Era of Generative AI Focuses on harmful content generation, verification, and the use of generative models to protect content security.
Interactive Q&A and Round‑Table
After each presentation, attendees could ask questions. The round‑table gathered all speakers to discuss the technical capabilities required for future pervasive services, addressing AIGC content forgery and security safeguards for smart AI terminals.
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