Songze Li

Baturalp Buyukates

CoRR, May, 2025

Unveiling Impact of Frequency Components on Membership Inference Attacks for Diffusion Models.

[BibT_eX]

[DOI]

Puwei Lian

Yujun Cai

CoRR, May, 2025

SecurePay: Enabling Secure and Fast Payment Processing for Platform Economy.

[BibT_eX]

[DOI]

CoRR, May, 2025

ReCIT: Reconstructing Full Private Data from Gradient in Parameter-Efficient Fine-Tuning of Large Language Models.

[BibT_eX]

[DOI]

CoRR, April, 2025

TrojanDam: Detection-Free Backdoor Defense in Federated Learning through Proactive Model Robustification utilizing OOD Data.

[BibT_eX]

[DOI]

CoRR, April, 2025

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

[BibT_eX]

[DOI]

CoRR, April, 2025

Balancing Stability and Plasticity in Pretrained Detector: A Dual-Path Framework for Incremental Object Detection.

[BibT_eX]

[DOI]

CoRR, April, 2025

DUKAE: DUal-level Knowledge Accumulation and Ensemble for Pre-Trained Model-Based Continual Learning.

[BibT_eX]

[DOI]

CoRR, April, 2025

How does Watermarking Affect Visual Language Models in Document Understanding?

[BibT_eX]

[DOI]

CoRR, April, 2025

When Data Manipulation Meets Attack Goals: An In-depth Survey of Attacks for VLMs.

[BibT_eX]

[DOI]

CoRR, February, 2025

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective.

[BibT_eX]

[DOI]

Jinjing Zhu

Lin Wang

CoRR, January, 2025

Privacy-Preserving Coded Schemes for Multi-Server Federated Learning With Straggling Links.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2025

Secure Embedding Aggregation for Cross-Silo Federated Representation Learning.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2025

PriRoAgg: Achieving Robust Model Aggregation With Minimum Privacy Leakage for Federated Learning.

[BibT_eX]

[DOI]

Sizai Hou

IEEE Trans. Inf. Forensics Secur., 2025

SA3C-ID: a novel network intrusion detection model using feature selection and adversarial training.

[BibT_eX]

[DOI]

PeerJ Comput. Sci., 2025

A unified prompt-based framework for few-shot multimodal language analysis.

[BibT_eX]

[DOI]

Intell. Syst. Appl., 2025

Learning how to transfer: A lifelong domain knowledge distillation framework for continual MRC.

[BibT_eX]

[DOI]

Intell. Syst. Appl., 2025

Arbitrary-Threshold Fully Homomorphic Encryption with Lower Complexity.

[BibT_eX]

[DOI]

Yijia Chang

IACR Cryptol. ePrint Arch., 2025

Resolving the Efficiency-Utility Dilemma of Threshold Linearly Homomorphic Encryption via Message-Space Adapter.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2025

URVFL: Undetectable Data Reconstruction Attack on Vertical Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025

Manifoldchain: Maximizing Blockchain Throughput via Bandwidth-Clustered Sharding.

[BibT_eX]

[DOI]

Chunjiang Che

Xuechao Wang

Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025

TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Agent-Oriented Planning in Multi-Agent Systems.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders.

[BibT_eX]

[DOI]

Sizai Hou

Duanyi Yao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

On Exploiting Network Topology for Hierarchical Coded Multi-Task Learning.

[BibT_eX]

[DOI]

IEEE Trans. Commun., August, 2024

Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., June, 2024

BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federated Learning.

[BibT_eX]

[DOI]

Yanbo Dai

IACR Cryptol. ePrint Arch., 2024

Hidden Data Privacy Breaches in Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents.

[BibT_eX]

[DOI]

CoRR, 2024

MSfusion: A Dynamic Model Splitting Approach for Resource-Constrained Machines to Collaboratively Train Larger Models.

[BibT_eX]

[DOI]

Jin Xie

CoRR, 2024

OmniLytics+: A Secure, Efficient, and Affordable Blockchain Data Market for Machine Learning through Off-Chain Processing.

[BibT_eX]

[DOI]

Mingzhe Liu

Mengqi Chen

CoRR, 2024

Towards Client Driven Federated Learning.

[BibT_eX]

[DOI]

Chenqing Zhu

CoRR, 2024

Identity Inference from CLIP Models using Only Textual Data.

[BibT_eX]

[DOI]

Ruoxi Cheng

Xiaojun Jia

CoRR, 2024

Leveraging Label Information for Stealthy Data Stealing in Vertical Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2024

FedMeS: Personalized Federated Continual Learning Leveraging Local Memory.

[BibT_eX]

[DOI]

Jin Xie

Chenqing Zhu

CoRR, 2024

InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding.

[BibT_eX]

[DOI]

CoRR, 2024

Joint User Association and Power Allocation in Multi-connectivity Enabled mmWave Networks: a Perspective of Rate Trade-off among Users.

[BibT_eX]

[DOI]

Ailing Chen

Zhenzhou Tang

Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

InternVideo2: Scaling Foundation Models for Multimodal Video Understanding.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Communication-Efficient Coded Computing for Distributed Multi-Task Learning.

[BibT_eX]

[DOI]

IEEE Trans. Commun., July, 2023

SwiftAgg+: Achieving Asymptotically Optimal Communication Loads in Secure Aggregation for Federated Learning.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., April, 2023

Information-Theoretically Private Matrix Multiplication From MDS-Coded Storage.

[BibT_eX]

[DOI]

Jie Li

IEEE Trans. Inf. Forensics Secur., 2023

FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models.

[BibT_eX]

[DOI]

Duanyi Yao

Jin Liu

IACR Cryptol. ePrint Arch., 2023

Scene Style Text Editing.

[BibT_eX]

[DOI]

CoRR, 2023

Boosting Cross-task Transferability of Adversarial Patches with Visual Relations.

[BibT_eX]

[DOI]

CoRR, 2023

Self-Supervised Cross-Language Scene Text Editing.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Coded Distributed Computing for Hierarchical Multi-task Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Information Theory Workshop, 2023

Secure Embedding Aggregation for Federated Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2023

Secure Gradient Aggregation for Wireless Multi-Server Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2023

Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning.

[BibT_eX]

[DOI]

Yanbo Dai

Proceedings of the International Conference on Machine Learning, 2023

Active Few-shot Learning For RouteNet-Fermi.

[BibT_eX]

[DOI]

Proceedings of the 2nd on Graph Neural Networking Workshop 2023, 2023

Multi-Server Secure Aggregation with Unreliable Communication Links.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2023

2022

Symmetric Private Polynomial Computation From Lagrange Encoding.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2022

Use of a BP Neural Network and Meteorological Data for Generating Spatiotemporally Continuous LAI Time Series.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

A Systematic Approach Towards Efficient Private Matrix Multiplication.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Inf. Theory, 2022

Fully Privacy-Preserving Federated Representation Learning via Secure Embedding Aggregation.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2022

Secure Federated Clustering.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2022

Private Matrix Multiplication From MDS-Coded Storage With Colluding Servers.

[BibT_eX]

[DOI]

Jie Li

CoRR, 2022

SwiftAgg+: Achieving Asymptotically Optimal Communication Load in Secure Aggregation for Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2022

DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

Generalized Lagrange Coded Computing: A Flexible Computation-Communication Tradeoff.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2022

Stochastic Coded Federated Learning with Convergence and Privacy Guarantees.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2022

SwiftAgg: Communication-Efficient and Dropout-Resistant Secure Aggregation for Federated Learning with Worst-Case Security Guarantees.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2022

2021

PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously.

[BibT_eX]

[DOI]

Mingchao Yu

Chien-Sheng Yang

Sreeram Kannan

Pramod Viswanath

IEEE Trans. Inf. Forensics Secur., 2021

Compressed Coded Distributed Computing.

[BibT_eX]

[DOI]

Ahmed Roushdy Elkordy

IEEE Trans. Commun., 2021

Estimating Leaf Area Index with Dynamic Leaf Optical Properties.

[BibT_eX]

[DOI]

Remote. Sens., 2021

OmniLytics: A Blockchain-based Secure Data Market for Decentralized Machine Learning.

[BibT_eX]

[DOI]

Jiacheng Liang

Wensi Jiang

IACR Cryptol. ePrint Arch., 2021

LightSecAgg: Rethinking Secure Aggregation in Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2021

2020

TaiJi: Longest Chain Availability with BFT Fast Confirmation.

[BibT_eX]

[DOI]

David Tse

IACR Cryptol. ePrint Arch., 2020

Coded Computing.

[BibT_eX]

[DOI]

Salman Avestimehr

Found. Trends Commun. Inf. Theory, 2020

FedML: A Research Library and Benchmark for Federated Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Coded Merkle Tree: Solving Data Availability Attacks in Blockchains.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2019

Coded State Machine - Scaling State Machine Execution under Byzantine Faults.

[BibT_eX]

[DOI]

Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing, 2019

Lagrange Coded Computing: Optimal Design for Resiliency, Security, and Privacy.

[BibT_eX]

[DOI]

Seyed Mohammadreza Mousavi Kalan

Netanel Raviv

Mahdi Soltanolkotabi

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

A Fundamental Tradeoff Between Computation and Communication in Distributed Computing.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2018

PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously.

[BibT_eX]

[DOI]

Mingchao Yu

Sreeram Kannan

Pramod Viswanath

IACR Cryptol. ePrint Arch., 2018

Polynomially Coded Regression: Optimal Straggler Mitigation via Data Encoding.

[BibT_eX]

[DOI]

Seyed Mohammadreza Mousavi Kalan

Mahdi Soltanolkotabi

CoRR, 2018

GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Compressed Coded Distributed Computing.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Near-Optimal Straggler Mitigation for Distributed Gradient Methods.

[BibT_eX]

[DOI]

Seyed Mohammadreza Mousavi Kalan

Mahdi Soltanolkotabi

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

2017

A Scalable Framework for Wireless Distributed Computing.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., 2017

Coding for Distributed Fog Computing.

[BibT_eX]

[DOI]

IEEE Commun. Mag., 2017

Communication-aware computing for edge processing.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Coded TeraSort.

[BibT_eX]

[DOI]

Sucha Supittayapornpong

Salman Avestimehr

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

How to optimally allocate resources for coded distributed computing?

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2017

Architectures for coded mobile edge computing.

[BibT_eX]

[DOI]

Proceedings of the IEEE Fog World Congress, 2017

2016

Rover-to-Orbiter Communication in Mars: Taking Advantage of the Varying Topology.

[BibT_eX]

[DOI]

David T. H. Kao

IEEE Trans. Commun., 2016

Fundamental tradeoff between computation and communication in distributed computing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2016

Edge-Facilitated Wireless Distributed Computing.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Global Communications Conference, 2016

A Unified Coding Framework for Distributed Computing with Straggling Servers.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Globecom Workshops, Washington, DC, USA, December 4-8, 2016, 2016

Poster Abstract: A Scalable Coded Computing Framework for Edge-Facilitated Wireless Distributed Computing.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM Symposium on Edge Computing, 2016

Coded Distributed Computing: Straggling Servers and Multistage Dataflows.

[BibT_eX]

[DOI]

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

Coded distributed computing: Fundamental limits and practical challenges.

[BibT_eX]

[DOI]

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

Coded MapReduce.

[BibT_eX]

[DOI]

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014

Scalable Prototype Learning Using GPUs.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Recognition - 11th International Conference, 2014

Power allocation for Gaussian multiple access channel with noisy cooperative links.

[BibT_eX]

[DOI]

Emrah Akyol

Urbashi Mitra

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Cooperative spectrum sharing with joint receiver decoding.

[BibT_eX]

[DOI]