Quan Le

According to our database, Quan Le authored at least 26 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De)Randomized Smoothing.

Daniel Gibert, Luca Demetrio, Giulio Zizzo, Quan Le, Jordi Planes, Battista Biggio

CoRR, 2024

A Robust Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via (De)Randomized Smoothing.

Daniel Gibert, Giulio Zizzo, Quan Le, Jordi Planes

CoRR, 2024

Adversarial Robustness of Deep Learning-Based Malware Detectors via (De)Randomized Smoothing.

Daniel Gibert, Giulio Zizzo, Quan Le, Jordi Planes

IEEE Access, 2024

Insights from the Participatory Design of a Virtual Reality Spatial Navigation Application for Veterans with a History of TBI.

Lila Bozgeyikli, Evren Bozgeyikli, Ryu Funakoshiya, Quan Le, Kyle Walker, L. Matthew Law, Daniel R. Griffiths, Arne D. Ekstrom, Jonathan Lifshitz

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2024

2023

Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks.

Daniel Gibert, Jordi Planes, Quan Le, Giulio Zizzo

CoRR, 2023

American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers.

Melissa Dell, Jacob Carlson, Tom Bryan, Emily Silcock, Abhishek Arora, Zejiang Shen, Luca D'Amico-Wong, Quan Le, Pablo Querubin, Leander Heldring

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards a Framework for the Global Assessment of Sensitive Attribute Bias Within Binary Classification Algorithms.

Adrian Byrne, Ivan Caffrey, Quan Le

Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

A Wolf in Sheep's Clothing: Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks.

Daniel Gibert, Jordi Planes, Quan Le, Giulio Zizzo

Proceedings of the IEEE European Symposium on Security and Privacy, 2023

Towards a Practical Defense Against Adversarial Attacks on Deep Learning-Based Malware Detectors via Randomized Smoothing.

Daniel Gibert, Giulio Zizzo, Quan Le

Proceedings of the Computer Security. ESORICS 2023 International Workshops, 2023

Certified Robustness of Static Deep Learning-based Malware Detectors against Patch and Append Attacks.

Daniel Gibert, Giulio Zizzo, Quan Le

Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023

2022

Fusing feature engineering and deep learning: A case study for malware classification.

Daniel Gibert, Jordi Planes, Carles Mateu, Quan Le

Expert Syst. Appl., 2022

Enhancing the insertion of NOP instructions to obfuscate malware via deep reinforcement learning.

Daniel Gibert, Matt Fredrikson, Carles Mateu, Jordi Planes, Quan Le

Comput. Secur., 2022

2021

Identifying Internet of Things software activities using deep learning-based electromagnetic side-channel analysis.

Quan Le, Luis Miralles-Pechuán, Asanka P. Sayakkara, Nhien-An Le-Khac, Mark Scanlon

Digit. Investig., 2021

2020

Automated Artefact Relevancy Determination from Artefact Metadata and Associated Timeline Events.

Xiaoyu Du, Quan Le, Mark Scanlon

Proceedings of the 2020 International Conference on Cyber Security and Protection of Digital Services, 2020

2019

Using Text Classification Methods to Detect Malware.

Eoghan Cunningham, Oisín Boydell, Cormac Doherty, Benjamin Roques, Quan Le

Proceedings of the Proceedings for the 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2019

2018

Deep learning at the shallow end: Malware classification for non-domain experts.

Quan Le, Oisín Boydell, Brian Mac Namee, Mark Scanlon

Digit. Investig., 2018

2017

Protein multiple sequence alignment benchmarking through secondary structure prediction.

Quan Le, Fabian Sievers, Desmond G. Higgins

Bioinform., 2017

2009

An Optical Transimpedance Amplifier Using an Inductive Buffer Stage Technique.

Sang Hyun Park, Quan Le, Bo-Hun Choi

IEICE Trans. Commun., 2009

2008

Energy-Efficient Low-Complexity CMOS Pulse Generator for Multiband UWB Impulse Radio.

Anh-Tuan Phan, Jeong-Seon Lee, Vladimir Krizhanovskii, Quan Le, Seok-Kyun Han, Sang-Gug Lee

IEEE Trans. Circuits Syst. I Regul. Pap., 2008

Burst-mode optical transmitter with DC-coupled burst-enable signal for 2.5-Gb/s GPON system.

Sang Hyun Park, Mikko Karppinen, Quan Le, Bin Young Yoon

Microelectron. J., 2008

2007

A CMOS Burst-Mode TIA with Step AGC and Selective Internally Created Reset for 1.25Gb/s EPON.

Quan Le, Sang-Gug Lee, Ho-Yong Kang, Sang-Hoon Chang

Proceedings of the 2007 IEEE International Solid-State Circuits Conference, 2007

2006

A 95-dB linear low-power variable gain amplifier.

Quoc-Hoang Duong, Quan Le, Chang-Wan Kim, Sang-Gug Lee

IEEE Trans. Circuits Syst. I Regul. Pap., 2006

2005

A CMOS burst-mode optical transmitter for 1.25-Gb/s ethernet PON applications.

Yong-Hun Oh, Sang-Gug Lee, Quan Le, Ho-Yong Kang, Tae-Whan Yoo

IEEE Trans. Circuits Syst. II Express Briefs, 2005

2004

A burst-mode receiver for 1.25-Gb/s ethernet PON with AGC and internally created reset signal.

Quan Le, Sang-Gug Lee, Yong-Hun Oh, Ho-Yong Kang, Tae-Whan Yoo

IEEE J. Solid State Circuits, 2004

Burst-mode transmitter for 1.25Gb/s Ethernet PON applications [passive optical networks].

Yong-Hun Oh, Quan Le, Sang-Gug Lee, Nguyen Duy Bien Yen, Ho-Yong Kang, Tae-Whan Yoo

Proceedings of the 33rd European Solid-State Circuits Conference, 2004

2003

Client Dependent GMM-SVM Models for Speaker Verification.

Quan Le, Samy Bengio

Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003