Qian Lou
Orcid: 0000-0001-5462-2567
According to our database1,
Qian Lou
authored at least 59 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
CoRR, 2024
BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models.
CoRR, 2024
Proceedings of the 12th Workshop on Encrypted Computing & Applied Homomorphic Cryptography, 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024
Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis, 2024
Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis, 2024
Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
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
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
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
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
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
Signal Image Video Process., 2022
ESTAS: Effective and Stable Trojan Attacks in Self-supervised Encoders with One Target Unlabelled Sample.
CoRR, 2022
CoRR, 2022
CoRR, 2022
Proceedings of the 17th ACM International Symposium on Nanoscale Architectures, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
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
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
J. Electronic Imaging, 2021
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
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
2020
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
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
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
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
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
Proceedings of the IEEE 6th Non-Volatile Memory Systems and Applications Symposium, 2017