Securing data against limited-knowledge adversaries in distributed storage systems. - Rawad Bitar; Salim El Rouayheb (ISIT, 2015)

Minimizing latency for secure distributed computing. - Rawad Bitar; Parimal Parag; Salim El Rouayheb (ISIT, 2017)

Staircase-PIR: Universally Robust Private Information Retrieval. - Rawad Bitar; Salim El Rouayheb (ITW, 2018)

Staircase Codes for Secret Sharing With Optimal Communication and Read Overheads. - Rawad Bitar; Salim El Rouayheb (IEEE Trans. Inf. Theory, 2018)

Secure Coded Cooperative Computation at the Heterogeneous Edge against Byzantine Attacks. - Yasaman Keshtkarjahromi; Rawad Bitar; Venkat R. Dasari; Salim El Rouayheb; Hulya Seferoglu (GLOBECOM, 2019)

Stochastic Gradient Coding for Flexible Straggler Mitigation in Distributed Learning. - Rawad Bitar; Mary Wootters; Salim El Rouayheb (ITW, 2019)

Adaptive Distributed Stochastic Gradient Descent for Minimizing Delay in the Presence of Stragglers. - Serge Kas Hanna; Rawad Bitar; Parimal Parag; Venkat Dasari 001; Salim El Rouayheb (ICASSP, 2020)

Communication Efficient Secret Sharing in the Presence of Malicious Adversary. - Rawad Bitar; Sidharth Jaggi (ISIT, 2020)

Criss-Cross Deletion Correcting Codes. - Rawad Bitar; Ilia Smagloy; Lorenz Welter; Antonia Wachter-Zeh; Eitan Yaakobi (ISITA, 2020)

Fountain Codes for Private Distributed Matrix-Matrix Multiplication. - Rawad Bitar; Marvin Xhemrishi; Antonia Wachter-Zeh (ISITA, 2020)

Rateless Codes for Private Distributed Matrix-Matrix Multiplication. - Rawad Bitar; Marvin Xhemrishi; Antonia Wachter-Zeh (CoRR, 2020)

Stochastic Gradient Coding for Straggler Mitigation in Distributed Learning. - Rawad Bitar; Mary Wootters; Salim El Rouayheb (IEEE J. Sel. Areas Inf. Theory, 2020)

Minimizing Latency for Secure Coded Computing Using Secret Sharing via Staircase Codes. - Rawad Bitar; Parimal Parag; Salim El Rouayheb (IEEE Trans. Commun., 2020)

Optimal Codes Correcting Localized Deletions. - Rawad Bitar; Serge Kas Hanna; Nikita Polyanskii; Ilya Vorobyev (ISIT, 2021)

Detecting Deletions and Insertions in Concatenated Strings with Optimal Redundancy. - Serge Kas Hanna; Rawad Bitar (ISIT, 2021)

Multiple Criss-Cross Deletion-Correcting Codes. - Lorenz Welter; Rawad Bitar; Antonia Wachter-Zeh; Eitan Yaakobi (ISIT, 2021)

Private and rateless adaptive coded matrix-vector multiplication. - Rawad Bitar; Yuxuan Xing; Yasaman Keshtkarjahromi; Venkat R. Dasari; Salim El Rouayheb; Hulya Seferoglu (EURASIP J. Wirel. Commun. Netw., 2021)

Network Coding With Myopic Adversaries. - Sijie Li; Rawad Bitar; Sidharth Jaggi; Yihan Zhang 001 (IEEE J. Sel. Areas Inf. Theory, 2021)

Criss-Cross Insertion and Deletion Correcting Codes. - Rawad Bitar; Lorenz Welter; Ilia Smagloy; Antonia Wachter-Zeh; Eitan Yaakobi (IEEE Trans. Inf. Theory, 2021)

Efficient Distributed Machine Learning via Combinatorial Multi-Armed Bandits. - Maximilian Egger; Rawad Bitar; Antonia Wachter-Zeh; Deniz Gündüz (ISIT, 2022)

Information Theoretic Private Inference in Quantized Models. - Netanel Raviv; Rawad Bitar; Eitan Yaakobi (ISIT, 2022)

Equivalence of Insertion/Deletion Correcting Codes for d-dimensional Arrays. - Evagoras Stylianou; Lorenz Welter; Rawad Bitar; Antonia Wachter-Zeh; Eitan Yaakobi (ISIT, 2022)

Distributed Matrix-Vector Multiplication with Sparsity and Privacy Guarantees. - Marvin Xhemrishi; Rawad Bitar; Antonia Wachter-Zeh (ISIT, 2022)

Efficient Private Storage of Sparse Machine Learning Data. - Marvin Xhemrishi; Maximilian Egger; Rawad Bitar (ITW, 2022)

Adaptive Stochastic Gradient Descent for Fast and Communication-Efficient Distributed Learning. - Serge Kas Hanna; Rawad Bitar; Parimal Parag; Venkat Dasari 001; Salim El Rouayheb (CoRR, 2022)

Nested Gradient Codes for Straggler Mitigation in Distributed Machine Learning. - Luis Maßny; Christoph Hofmeister; Maximilian Egger; Rawad Bitar; Antonia Wachter-Zeh (CoRR, 2022)

Secure Private and Adaptive Matrix Multiplication Beyond the Singleton Bound. - Christoph Hofmeister; Rawad Bitar; Marvin Xhemrishi; Antonia Wachter-Zeh (IEEE J. Sel. Areas Inf. Theory, 2022)

Adaptive Private Distributed Matrix Multiplication. - Rawad Bitar; Marvin Xhemrishi; Antonia Wachter-Zeh (IEEE Trans. Inf. Theory, 2022)

Multiple Criss-Cross Insertion and Deletion Correcting Codes. - Lorenz Welter; Rawad Bitar; Antonia Wachter-Zeh; Eitan Yaakobi (IEEE Trans. Inf. Theory, 2022)

Fast and Straggler-Tolerant Distributed SGD with Reduced Computation Load. - Maximilian Egger; Serge Kas Hanna; Rawad Bitar (ISIT, 2023)

Private Aggregation in Wireless Federated Learning with Heterogeneous Clusters. - Maximilian Egger; Christoph Hofmeister; Antonia Wachter-Zeh; Rawad Bitar (ISIT, 2023)

Sparse and Private Distributed Matrix Multiplication with Straggler Tolerance. - Maximilian Egger; Marvin Xhemrishi; Antonia Wachter-Zeh; Rawad Bitar (ISIT, 2023)

Trading Communication for Computation in Byzantine-Resilient Gradient Coding. - Christoph Hofmeister; Luis Maßny; Eitan Yaakobi; Rawad Bitar (ISIT, 2023)

Function-Correcting Codes. - Andreas Lenz 001; Rawad Bitar; Antonia Wachter-Zeh; Eitan Yaakobi (IEEE Trans. Inf. Theory, 2023)

Self-Duplicating Random Walks for Resilient Decentralized Learning on Graphs. - Maximilian Egger; Ghadir Ayache; Rawad Bitar; Antonia Wachter-Zeh; Salim El Rouayheb (GLOBECOM, 2024)

Scalable and Reliable Over-the-Air Federated Edge Learning. - Maximilian Egger; Christoph Hofmeister; Cem Kaya; Rawad Bitar; Antonia Wachter-Zeh (GLOBECOM, 2024)

Capacity-Maximizing Input Symbol Selection for Discrete Memoryless Channels. - Maximilian Egger; Rawad Bitar; Antonia Wachter-Zeh; Deniz Gündüz; Nir Weinberger (ISIT, 2024)

Achieving DNA Labeling Capacity with Minimum Labels through Extremal de Bruijn Subgraphs. - Christoph Hofmeister; Anina Gruica; Dganit Hanania; Rawad Bitar; Eitan Yaakobi (ISIT, 2024)

Interactive Byzantine-Resilient Gradient Coding for General Data Assignments. - Shreyas Jain; Luis Maßny; Christoph Hofmeister; Eitan Yaakobi; Rawad Bitar (ISIT, 2024)

Secure Storage Using Maximally Recoverable Locally Repairable Codes. - Tim Janz; Hedongliang Liu; Rawad Bitar; Frank R. Kschischang (ISIT, 2024)

Byzantine-Resilient Secure Aggregation for Federated Learning Without Privacy Compromises. - Yue Xia; Christoph Hofmeister; Maximilian Egger; Rawad Bitar (ITW, 2024)

LoByITFL: Low Communication Secure and Private Federated Learning. - Yue Xia; Christoph Hofmeister; Maximilian Egger; Rawad Bitar (CoRR, 2024)

Communication-Efficient Byzantine-Resilient Federated Zero-Order Optimization. - Afonso de Sá Delgado Neto; Maximilian Egger; Mayank Bakshi; Rawad Bitar (CoRR, 2024)

Sparsity and Privacy in Secret Sharing: A Fundamental Trade-Off. - Rawad Bitar; Maximilian Egger; Antonia Wachter-Zeh; Marvin Xhemrishi (IEEE Trans. Inf. Forensics Secur., 2024)

Federated One-Shot Learning With Data Privacy and Objective-Hiding. - Maximilian Egger; Rüdiger L. Urbanke; Rawad Bitar (IEEE Trans. Inf. Forensics Secur., 2025)

CAT and DOG: Improved Codes for Private Distributed Matrix Multiplication. - Christoph Hofmeister; Rawad Bitar; Antonia Wachter-Zeh (CoRR, 2025)

Between Close Enough to Reveal and Far Enough to Protect: a New Privacy Region for Correlated Data. - Luis Maßny; Rawad Bitar; Fangwei Ye; Salim El Rouayheb (CoRR, 2025)

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning. - Maximilian Egger; Mayank Bakshi; Rawad Bitar (CoRR, 2025)

BICompFL: Stochastic Federated Learning with Bi-Directional Compression. - Maximilian Egger; Rawad Bitar; Antonia Wachter-Zeh; Nir Weinberger; Deniz Gündüz (CoRR, 2025)

Maximal-Capacity Discrete Memoryless Channel Identification. - Maximilian Egger; Rawad Bitar; Antonia Wachter-Zeh; Deniz Gündüz; Nir Weinberger (IEEE Trans. Inf. Theory, 2025)

Byzantine-Resilient Gradient Coding Through Local Gradient Computations. - Christoph Hofmeister; Luis Maßny; Eitan Yaakobi; Rawad Bitar (IEEE Trans. Inf. Theory, 2025)

Source Anonymity for Private Random Walk Decentralized Learning. - Maximilian Egger; Svenja Lage; Rawad Bitar; Antonia Wachter-Zeh (CoRR, 2025)

Multi-Terminal Remote Generation and Estimation Over a Broadcast Channel With Correlated Priors. - Maximilian Egger; Rawad Bitar; Antonia Wachter-Zeh; Nir Weinberger; Deniz Gündüz (CoRR, 2025)

Efficient Machine Unlearning by Model Splitting and Core Sample Selection. - Maximilian Egger; Rawad Bitar; Rüdiger L. Urbanke (CoRR, 2025)

Private Inference in Quantized Models. - Zirui Deng; Vinayak Ramkumar; Rawad Bitar; Netanel Raviv (IEEE Trans. Inf. Theory, 2025)

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning. - Maximilian Egger; Rawad Bitar (CoRR, 2025)

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning. - Yue Xia; Christoph Hofmeister; Maximilian Egger; Rawad Bitar (CoRR, 2025)