Day 1, July 24, 17:45 – 19:30
Ningbo Zhu, Jinghan Sun, Shuyi Zhang, Xinyao Sun and Irene Cheng, “Demo: Blockchain Shield – Advanced Threat Detection & Forensic Analysis Platform”
Chuxiong Sun, Wenwen Qiang and Jiangmeng Li, “SCDRL: Scalable and Customized Distributed Reinforcement Learning System”
Dmitry Orlov and Anton Rybianov, “Metamorphosis: Consensus Protocol for Distributed Message Brokers”
Shaojie Liu, Hongbo Zhao and Han Liu, “Demo: Specy Network – Trusted Multichain Automation With Verifiable Specifications”
Léo Lavaur, Yann Busnel and Fabien Autrel, “Highlighting the Limits of Federated Learning in Intrusion Detection”
Jingzhe Wang, Haocheng Wang, Chao Li and Balaji Palanisamy, “Timed Data Release using Smart Contracts”
Harsh Borse, Utkalika Satapathy, Mainack Mondal and Bivas Mitra, “URCD: Unsupervised Root Cause Detection in Microservices Architecture with HGAN”
Abdul-Rasheed Ottun, Rasinthe Marasinghe, Toluwani Elemosho, Mohan Liyanage, Ashfaq Hussain Ahmed, Michell Boerger, Chamara Sandeepa, Thulitha Senevirathna, Vinh Hoa La, Mahn-Dung Nguyen, Claudio Soriente, Samuel Marchal, Shen Wang, David Solans Noguero, Nikolay Tcholtchev, Aaron Yi Ding and Huber Flores, “SPATIAL: Practical AI Trustworthiness with Human Oversight”
Xueqing Zhang, Junkai Zhang, Ka-Ho Chow, Juntao Chen, Ying Mao, Mohamed Rahouti, Xiang Li, Yuchen Liu and Wenqi Wei, “Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning”
Sehrish Amjad, Ahmed Akhtar, Muhammad Ali, Ayesha Afzal, Basit Shafiq, Jaideep Vaidya and Shafay Shamail, “Orchflow: Orchestration and Management of IoT-Centric Distributed Workflows”
Zhengquan Li and Zheng Song, “Service Polymorphism: Enhancing Web Service Performance by Serving Clients Dissimilarly”
Haoran Zhang, Zekai Li, Zejun Gong, Marie Siew, Carlee Joe-Wong and Rachid El-Azouzi, “Optimal Variance-Reduced Client Sampling for Multiple Model Federated Learning”
Ainhoa Azqueta and Marta Patino, “Load Balancing for In-Memory Key-Value Data Stores”
Mirza Masfiqur Rahman, Ashish Kundu and Elisa Bertino, “Benchmarking of Code Generative LLMs”
Renascence Tarafder Prapty, Ashish Kundu and Arun Iyengar, “CrystalBall: Attack Graphs using Using Large Language Models and RAGs”
Varul Srivastava and Sujit Gujar, “Towards Rational Consensus in Honest Majority”
Sanaullah, Kaushik Roy, Ulrich Rückert and Thorsten Jungeblut, “Selection of Optimal Neural Model using Spiking Neural Network for Edge Computing”
Vishal Choudhary and Hock Beng Lim, “ViEdge: An Edge-based Platform for Video Analytics Applications in Smart Estates”
Sriya Ayachitula, “Exploring Explainability Techniques for Large Language Model Classification Predictions”
Aditya Nangia, Saksham Bhupal, Kushagra Mittal, Mukesh Mohania and Ashish Kundu, “Secure Data Sharing with Decentralised Data Ring Fencing”