Quan Le

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 22

Top Topics

Detecting Malicious

Secondary Structure Prediction

Metadata Extraction

Top Venues

Digit. Investig.

Publications

Daniel Gibert, Luca Demetrio, Giulio Zizzo, Quan Le, Jordi Planes, Battista Biggio
Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De)Randomized Smoothing. CoRR (2024)
Daniel Gibert, Giulio Zizzo, Quan Le, Jordi Planes
A Robust Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via (De)Randomized Smoothing. CoRR (2024)
Lila Bozgeyikli, Evren Bozgeyikli, Ryu Funakoshiya, Quan Le, Kyle Walker, L. Matthew Law, Daniel R. Griffiths, Arne D. Ekstrom, Jonathan Lifshitz
Insights from the Participatory Design of a Virtual Reality Spatial Navigation Application for Veterans with a History of TBI. VR Workshops (2024)
Daniel Gibert, Giulio Zizzo, Quan Le
Towards a Practical Defense Against Adversarial Attacks on Deep Learning-Based Malware Detectors via Randomized Smoothing. ESORICS Workshops (2) (2023)
Daniel Gibert, Giulio Zizzo, Quan Le
Towards a Practical Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via Randomized Smoothing. CoRR (2023)
Daniel Gibert, Jordi Planes, Quan Le, Giulio Zizzo
Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks. CoRR (2023)
Melissa Dell, Jacob Carlson, Tom Bryan, Emily Silcock, Abhishek Arora, Zejiang Shen, Luca D'Amico-Wong, Quan Le, Pablo Querubin, Leander Heldring
American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers. NeurIPS (2023)
Daniel Gibert, Giulio Zizzo, Quan Le
Certified Robustness of Static Deep Learning-based Malware Detectors against Patch and Append Attacks. AISec@CCS (2023)
Daniel Gibert, Jordi Planes, Quan Le, Giulio Zizzo
A Wolf in Sheep's Clothing: Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks. EuroS&P Workshops (2023)
Melissa Dell, Jacob Carlson, Tom Bryan, Emily Silcock, Abhishek Arora, Zejiang Shen, Luca D'Amico-Wong, Quan Le, Pablo Querubin, Leander Heldring
American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers. CoRR (2023)
Adrian Byrne, Ivan Caffrey, Quan Le
Towards a Framework for the Global Assessment of Sensitive Attribute Bias Within Binary Classification Algorithms. EWAF (2023)
Daniel Gibert, Matt Fredrikson, Carles Mateu, Jordi Planes, Quan Le
Enhancing the insertion of NOP instructions to obfuscate malware via deep reinforcement learning. Comput. Secur. 113 (2022)
Daniel Gibert, Jordi Planes, Carles Mateu, Quan Le
Fusing feature engineering and deep learning: A case study for malware classification. Expert Syst. Appl. 207 (2022)
Daniel Gibert, Carles Mateu, Jordi Planes, Quan Le
Fusing Feature Engineering and Deep Learning: A Case Study for Malware Classification. CoRR (2022)
Daniel Gibert, Matt Fredrikson, Carles Mateu, Jordi Planes, Quan Le
Enhancing the Insertion of NOP Instructions to Obfuscate Malware via Deep Reinforcement Learning. CoRR (2021)
Quan Le, Luis Miralles-Pechuán, Asanka P. Sayakkara, Nhien-An Le-Khac, Mark Scanlon
Identifying Internet of Things software activities using deep learning-based electromagnetic side-channel analysis. Digit. Investig. 39 (2021)
Xiaoyu Du, Quan Le, Mark Scanlon
Automated Artefact Relevancy Determination from Artefact Metadata and Associated Timeline Events. Cyber Security (2020)
Xiaoyu Du, Quan Le, Mark Scanlon
Automated Artefact Relevancy Determination from Artefact Metadata and Associated Timeline Events. CoRR (2020)
Eoghan Cunningham, Oisín Boydell, Cormac Doherty, Benjamin Roques, Quan Le
Using Text Classification Methods to Detect Malware. AICS (2019)
Quan Le, Oisín Boydell, Brian Mac Namee, Mark Scanlon
Deep learning at the shallow end: Malware classification for non-domain experts. CoRR (2018)
Quan Le, Oisín Boydell, Brian Mac Namee, Mark Scanlon
Deep learning at the shallow end: Malware classification for non-domain experts. Digit. Investig. (2018)
Quan Le, Fabian Sievers, Desmond G. Higgins
Protein multiple sequence alignment benchmarking through secondary structure prediction. Bioinform. 33 (9) (2017)
Sang Hyun Park, Quan Le, Bo-Hun Choi
An Optical Transimpedance Amplifier Using an Inductive Buffer Stage Technique. IEICE Trans. Commun. (6) (2009)
Sang Hyun Park, Mikko Karppinen, Quan Le, Bin Young Yoon
Burst-mode optical transmitter with DC-coupled burst-enable signal for 2.5-Gb/s GPON system. Microelectron. J. 39 (1) (2008)
Anh-Tuan Phan, Jeong-Seon Lee, Vladimir Krizhanovskii, Quan Le, Seok-Kyun Han, Sang-Gug Lee
Energy-Efficient Low-Complexity CMOS Pulse Generator for Multiband UWB Impulse Radio. IEEE Trans. Circuits Syst. I Regul. Pap. (11) (2008)
Quan Le, Sang-Gug Lee, Ho-Yong Kang, Sang-Hoon Chang
A CMOS Burst-Mode TIA with Step AGC and Selective Internally Created Reset for 1.25Gb/s EPON. ISSCC (2007)
Quoc-Hoang Duong, Quan Le, Chang-Wan Kim, Sang-Gug Lee
A 95-dB linear low-power variable gain amplifier. IEEE Trans. Circuits Syst. I Regul. Pap. (8) (2006)
Yong-Hun Oh, Sang-Gug Lee, Quan Le, Ho-Yong Kang, Tae-Whan Yoo
A CMOS burst-mode optical transmitter for 1.25-Gb/s ethernet PON applications. IEEE Trans. Circuits Syst. II Express Briefs (11) (2005)
Quan Le, Sang-Gug Lee, Yong-Hun Oh, Ho-Yong Kang, Tae-Whan Yoo
A burst-mode receiver for 1.25-Gb/s ethernet PON with AGC and internally created reset signal. IEEE J. Solid State Circuits 39 (12) (2004)
Yong-Hun Oh, Quan Le, Sang-Gug Lee, Nguyen Duy Bien Yen, Ho-Yong Kang, Tae-Whan Yoo
Burst-mode transmitter for 1.25Gb/s Ethernet PON applications [passive optical networks]. ESSCIRC (2004)
Quan Le, Samy Bengio
Client Dependent GMM-SVM Models for Speaker Verification. ICANN (2003)