| 2024 | 43rd International Symposium on Reliable Distributed Systems, SRDS 2024, Charlotte, NC, USA, September 30 - Oct. 3, 2024 |
| 2024 | Ares II: Tracing the Flaws of a (Storage) God. Chryssis Georgiou, Nicolas Nicolaou, Andria Trigeorgi |
| 2024 | Availability Analysis of Network-Attack-Resilient Byzantine Fault Tolerant Systems. Aren Alyahya, David Tipper, Amy Babay |
| 2024 | Batch-Schedule-Execute: On Optimizing Concurrent Deterministic Scheduling for Blockchains. Yaron Hay, Roy Friedman |
| 2024 | CLUES: Collusive Theft of Conditional Generative Adversarial Networks. Simon Queyrut, Valerio Schiavoni, Lydia Y. Chen, Pascal Felber, Robert Birke |
| 2024 | DTC: Real-Time and Accurate Distributed Triangle Counting in Fully Dynamic Graph Streams. Wei Xuan, Yan Liang, Huawei Cao, Ning Lin, Xiaochun Ye, Dongrui Fan |
| 2024 | DecentEdge: A Trusted Edge-Cloud Transaction Processing Protocol for NFT-Based DApps. Hari Kishore Chaparala, Doddala Sai Vineeth, Ahmad Showail, Faisal Nawab |
| 2024 | Efficient Exploration on Worst-Case Delay Performance of Networked Industrial Control Systems via Network Calculus and Deep Learning. Zhiqi Liang, Jiajie Zeng, Shuai Peng, Xiaoguang Ma, Huan Yang |
| 2024 | Efficient Identity-Based Encryption with Minimal Server Trust. Yuan Liang, Giovanni Di Crescenzo, Haining Wang, Zahir Patni |
| 2024 | Enabling Complete Atomicity for Cross-Chain Applications Through Layered State Commitments. Yuandi Cai, Ru Cheng, Yifan Zhou, Shijie Zhang, Jiang Xiao, Hai Jin |
| 2024 | Enhanced Malware Detection in Distributed IoT Environment Using Optimized Cascaded LSTM-GRU Framework. Akshat Gaurav, Brij B. Gupta, Sachin Sharma, Kwok Tai Chui |
| 2024 | Enhancing Distributed Security and Reliability in Semiconductor Supply Chains with Blockchain and Chemistry Integration. Sharv Murgai |
| 2024 | Enhancing Security and Reliability in Distributed Systems: A Hybrid Approach Integrating Snort Rules and Machine Learning for Anomaly Detection. Vishal Murgai, Roxy Stimpson, Ravi Sankar Mantha |
| 2024 | Evaluating the Potential of In-Memory Processing to Accelerate Homomorphic Encryption: Practical Experience Report. Mpoki Mwaisela, Joel Hari, Peterson Yuhala, Jämes Ménétrey, Pascal Felber, Valerio Schiavoni |
| 2024 | Fantastyc: Blockchain-Based Federated Learning Made Secure and Practical. William Boitier, Antonella Del Pozzo, Álvaro García-Pérez, Stéphane Gazut, Pierre Jobic, Alexis Lemaire, Erwan Mahe, Aurélien Mayoue, Maxence Perion, Tuanir Franca Rezende, Deepika Singh, Sara Tucci Piergiovanni |
| 2024 | HAppA: A Modular Platform for HPC Application Resilience Analysis with LLMs Embedded. Hailong Jiang, Jianfeng Zhu, Bo Fang, Kevin J. Barker, Chao Chen, Ruoming Jin, Qiang Guan |
| 2024 | Harmonizing Repair and Maintenance in LRC-Coded Storage. Keyun Cheng, Si Wu, Xiaolu Li, Patrick P. C. Lee |
| 2024 | Heart Failure Prediction: Machine Learning Application in Critical Care. Himanshu Sharma, Gitika Sharma, Sachin Sharma, Abhijat Mishra, Avineet Singh, Harshvardhan Sharma |
| 2024 | MSF-Model: Queuing-Based Analysis and Prediction of Metastable Failures in Replicated Storage Systems. Farzad Habibi, Tania Lorido-Botran, Ahmad Showail, Daniel C. Sturman, Faisal Nawab |
| 2024 | On Quantifying the Gradient Inversion Risk of Data Reuse in Federated Learning Systems. Jiyue Huang, Lydia Y. Chen, Stefanie Roos |
| 2024 | PR-TDR: Privacy-Preserving and Reliable Timed Data Release. Jingzhe Wang, Balaji Palanisamy |
| 2024 | Peerswap: A Peer-Sampler with Randomness Guarantees. Rachid Guerraoui, Anne-Marie Kermarrec, Anastasiia Kucherenko, Rafael Pinot, Martijn de Vos |
| 2024 | PhD Forum: Challenges of Availability and Cost Assessments for Network-Attack-Resilient Byzantine Systems. Aren Alyahya |
| 2024 | PhD Forum: Efficient Privacy-Preserving Processing via Memory-Centric Computing. Mpoki Mwaisela |
| 2024 | PhD Forum: Evaluating and Designing Routing Protocols for Reliable Distributed Quantum Systems. Huzaifah Nadeem |
| 2024 | PhD Forum: Towards Metastable-Failure-Free Distributed Transaction Systems. Farzad Habibi |
| 2024 | Pre-LogMGAE: Identification of Log Anomalies Using a Pre-Trained Masked Graph Autoencoder. Aming Wu, Young-Woo Kwon |
| 2024 | Presto: Optimizing Cross-Shard Transactions in Sharded Blockchain Architecture. Qiuyu Ding, Rongkai Zhang, Shenglin Yin, Pengze Li, Shengjie Guan, Zhen Xiao, Jieyi Long |
| 2024 | RADAR: Model Quality Assessment for Reputation-aware Collaborative Federated Learning. Léo Lavaur, Pierre-Marie Lechevalier, Yann Busnel, Romaric Ludinard, Marc-Oliver Pahl, Géraldine Texier |
| 2024 | Resilient and Secure Programmable System-on-Chip Accelerator Offload. Inês Pinto Gouveia, Ahmad T. Sheikh, Ali Shoker, Suhaib A. Fahmy, Paulo Esteves Veríssimo |
| 2024 | Simpler is Better: Revisiting Mencius State Machine Replication. Bocheng Cui, Aleksey Charapko |
| 2024 | TabVFL: Improving Latent Representation in Vertical Federated Learning. Mohamed Rashad, Zilong Zhao, Jérémie Decouchant, Lydia Y. Chen |
| 2024 | To Share or Hide: Confidential Model Compilation as a Service with Privacy-Preserving Transparency. Kailun Qin, Dawu Gu |
| 2024 | Tolerating Compound Threats in Critical Infrastructure Control Systems. Sahiti Bommareddy, Maher Khan, Huzaifah Nadeem, Benjamin Gilby, Imes Chiu, John W. van de Lindt, Omar Nofal, Mathaios Panteli, Linton Wells, Yair Amir, Amy Babay |