Qian Lou

Orcid: 0000-0001-5462-2567

According to our database1, Qian Lou authored at least 96 papers between 2017 and 2026.

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Bibliography

2026
Efficient Arithmetic-and-Comparison Homomorphic Encryption with Space Switching.
CoRR, April, 2026

SIF: Semantically In-Distribution Fingerprints for Large Vision-Language Models.
CoRR, April, 2026

Conjunctive Prompt Attacks in Multi-Agent LLM Systems.
CoRR, April, 2026

Privacy-Preserving LLMs Routing.
CoRR, April, 2026

SecureRouter: Encrypted Routing for Efficient Secure Inference.
CoRR, April, 2026

RobPI: Robust Private Inference against Malicious Client.
CoRR, February, 2026

CryptoGen: Secure Transformer Generation with Encrypted KV-Cache Reuse.
CoRR, February, 2026

FHAIM: Fully Homomorphic AIM For Private Synthetic Data Generation.
CoRR, February, 2026

R2-Router: A New Paradigm for LLM Routing with Reasoning.
CoRR, February, 2026

RPP: A Certified Poisoned-Sample Detection Framework for Backdoor Attacks under Dataset Imbalance.
CoRR, February, 2026

Learning Latency-Aware Orchestration for Parallel Multi-Agent Systems.
CoRR, January, 2026

ToMoE: Converting Dense Large Language Models to Mixture-of-Experts through Dynamic Structural Pruning.
Trans. Mach. Learn. Res., 2026

Efficient privacy-preserving sparse matrix-vector multiplication using homomorphic encryption.
Inf. Sci., 2026

QNBAD: Quantum Noise-induced Backdoor Attacks against Zero Noise Extrapolation.
Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

Heterogeneous Multi-Agent Reinforcement Learning with Attention for Cooperative and Scalable Feature Transformation.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

ReliaFHE: Resilient Design for Fully Homomorphic Encryption Accelerators.
Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

2025
Heterogeneous Multi-Agent Reinforcement Learning with Attention for Cooperative and Scalable Feature Transformation.
CoRR, November, 2025

PRO: Enabling Precise and Robust Text Watermark for Open-Source LLMs.
CoRR, October, 2025

DictPFL: Efficient and Private Federated Learning on Encrypted Gradients.
CoRR, October, 2025

PIR-RAG: A System for Private Information Retrieval in Retrieval-Augmented Generation.
CoRR, September, 2025

DiffQ: Unified Parameter Initialization for Variational Quantum Algorithms via Diffusion Models.
CoRR, September, 2025

VQEzy: An Open-Source Dataset for Parameter Initialization in Variational Quantum Eigensolvers.
CoRR, September, 2025

DAHE: Parameter-Adaptive and Memory Efficient FPGA Acceleration of Homomorphic Encryption.
IEEE Trans. Computers, August, 2025

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning.
CoRR, July, 2025

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators.
CoRR, July, 2025

Measuring Computational Universality of Fully Homomorphic Encryption.
CoRR, April, 2025

TFHE-Coder: Evaluating LLM-agentic Fully Homomorphic Encryption Code Generation.
CoRR, March, 2025

Uncovering the Hidden Threat of Text Watermarking from Users with Cross-Lingual Knowledge.
CoRR, February, 2025

Towards Safe AI Clinicians: A Comprehensive Study on Large Language Model Jailbreaking in Healthcare.
CoRR, January, 2025

ToMoE: Converting Dense Large Language Models to Mixture-of-Experts through Dynamic Structural Pruning.
CoRR, January, 2025

DataSeal: Ensuring the Verifiability of Private Computation on Encrypted Data.
Proceedings of the IEEE Symposium on Security and Privacy, 2025

CipherPrune: Efficient and Scalable Private Transformer Inference.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Factuality Beyond Coherence: Evaluating LLM Watermarking Methods for Medical Texts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Evaluating the Robustness and Accuracy of Text Watermarking Under Real-World Cross-Lingual Manipulations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

zkVC: Fast Zero-Knowledge Proof for Private and Verifiable Computing.
Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

Corrosion Hammer: A Self-Activated Bit-Flip Attack to the Processing-In-Memory Accelerator.
Proceedings of the 22nd ACM International Conference on Computing Frontiers, 2025

2024
freePruner: A Training-free Approach for Large Multimodal Model Acceleration.
CoRR, 2024

DataSeal: Ensuring the Verifiability of Private Computation on Encrypted Data.
CoRR, 2024

CryptoTrain: Fast Secure Training on Encrypted Dataset.
CoRR, 2024

BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models.
CoRR, 2024

HEBridge: Connecting Arithmetic and Logic Operations in FV-style HE Schemes.
Proceedings of the 12th Workshop on Encrypted Computing & Applied Homomorphic Cryptography, 2024

HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

TrojFSP: Trojan Insertion in Few-shot Prompt Tuning.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Trinity: A General Purpose FHE Accelerator.
Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

CryptoTrain: Fast Secure Training on Encrypted Dataset.
Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis, 2024

TrojFair: Trojan Fairness Attacks.
Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis, 2024

OFHE: An Electro-Optical Accelerator for Discretized TFHE.
Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design, 2024

BadFair: Backdoored Fairness Attacks with Group-conditioned Triggers.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Jailbreaking LLMs with Arabic Transliteration and Arabizi.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024

WBP: Training-Time Backdoor Attacks Through Hardware-Based Weight Bit Poisoning.
Proceedings of the Computer Vision - ECCV 2024, 2024

CR-UTP: Certified Robustness against Universal Text Perturbations on Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

BoostCom: Towards Efficient Universal Fully Homomorphic Encryption by Boosting the Word-wise Comparisons.
Proceedings of the 2024 International Conference on Parallel Architectures and Compilation Techniques, 2024

2023
TrojFSP: Trojan Insertion in Few-shot Prompt Tuning.
CoRR, 2023

TrojPrompt: A Black-box Trojan Attack on Pre-trained Language Models.
CoRR, 2023

SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning.
CoRR, 2023

vFHE: Verifiable Fully Homomorphic Encryption with Blind Hash.
CoRR, 2023

TrojLLM: A Black-box Trojan Prompt Attack on Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PriML: An Electro-Optical Accelerator for Private Machine Learning on Encrypted Data.
Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

TrojText: Test-time Invisible Textual Trojan Insertion.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

TrojBits: A Hardware Aware Inference-Time Attack on Transformer-Based Language Models.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Primer: Fast Private Transformer Inference on Encrypted Data.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

TrojViT: Trojan Insertion in Vision Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Cryptography-Inspired Federated Learning for Generative Adversarial Networks and Meta Learning.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
Underwater image enhancement based on color-line model and homomorphic filtering.
Signal Image Video Process., 2022

ESTAS: Effective and Stable Trojan Attacks in Self-supervised Encoders with One Target Unlabelled Sample.
CoRR, 2022

Numerical Optimizations for Weighted Low-rank Estimation on Language Model.
CoRR, 2022

Audit and Improve Robustness of Private Neural Networks on Encrypted Data.
CoRR, 2022

CryptoLight: An Electro-Optical Accelerator for Fully Homomorphic Encryption.
Proceedings of the 17th ACM International Symposium on Nanoscale Architectures, 2022

DictFormer: Tiny Transformer with Shared Dictionary.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Language model compression with weighted low-rank factorization.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Numerical Optimizations for Weighted Low-rank Estimation on Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

coxHE: A software-hardware co-design framework for FPGA acceleration of homomorphic computation.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

MATCHA: a fast and energy-efficient accelerator for fully homomorphic encryption over the torus.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Lite-MDETR: A Lightweight Multi-Modal Detector.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Underwater image restoration based on modified color-line model.
J. Electronic Imaging, 2021

How to Accelerate Capsule Convolutions in Capsule Networks.
CoRR, 2021

Automatic Mixed-Precision Quantization Search of BERT.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture.
Proceedings of the 38th International Conference on Machine Learning, 2021

SAFENet: A Secure, Accurate and Fast Neural Network Inference.
Proceedings of the 9th International Conference on Learning Representations, 2021

CRYPTOGRU: Low Latency Privacy-Preserving Text Analysis With GRU.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Underwater image enhancement based on DCP and depth transmission map.
Multim. Tools Appl., 2020

AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Falcon: Fast Spectral Inference on Encrypted Data.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

AutoQ: Automated Kernel-Wise Neural Network Quantization.
Proceedings of the 8th International Conference on Learning Representations, 2020

LightBulb: A Photonic-Nonvolatile-Memory-based Accelerator for Binarized Convolutional Neural Networks.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

MindReading: An Ultra-Low-Power Photonic Accelerator for EEG-based Human Intention Recognition.
Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

Helix: Algorithm/Architecture Co-design for Accelerating Nanopore Genome Base-calling.
Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020

2019
SHE: A Fast and Accurate Privacy-Preserving Deep Neural Network Via Leveled TFHE and Logarithmic Data Representation.
CoRR, 2019

AutoQB: AutoML for Network Quantization and Binarization on Mobile Devices.
CoRR, 2019

SHE: A Fast and Accurate Deep Neural Network for Encrypted Data.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

HolyLight: A Nanophotonic Accelerator for Deep Learning in Data Centers.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018
BRAWL: A Spintronics-Based Portable Basecalling-in-Memory Architecture for Nanopore Genome Sequencing.
IEEE Comput. Archit. Lett., 2018

3DICT: a reliable and QoS capable mobile process-in-memory architecture for lookup-based CNNs in 3D XPoint ReRAMs.
Proceedings of the International Conference on Computer-Aided Design, 2018

2017
Runtime and reconfiguration dual-aware placement for SRAM-NVM hybrid FPGAs.
Proceedings of the IEEE 6th Non-Volatile Memory Systems and Applications Symposium, 2017


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