Quan Le - RankMe

42 papers A* 1C 2Journal 30Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Benchmarking Political Persuasion Risks Across Frontier Large Language Models. CoRR Zhongren Chen, Joshua Kalla, Quan Le
2026	J	`jnl`	Design of a Bio-Inspired Miniature Submarine for Low-Cost Water Quality Monitoring. CoRR Quang Huy Vu, Quan Le, Manh Duong Phung
2025	J	`jnl`	A Framework to Assess the Persuasion Risks Large Language Model Chatbots Pose to Democratic Societies. CoRR Zhongren Chen, Joshua Kalla, Quan Le, Shinpei Nakamura-Sakai, Jasjeet S. Sekhon, Ruixiao Wang
2025	J	`jnl`	Assessing the impact of packing on static machine learning-based malware detection and classification systems. Comput. Secur. Daniel Gibert, Nikolaos Totosis, Constantinos Patsakis, Quan Le, Giulio Zizzo
2025	J	`jnl`	Real-time Recognition of Human Interactions from a Single RGB-D Camera for Socially-Aware Robot Navigation. CoRR Thanh Long Nguyen, Duc Phu Nguyen, Thanh Thao Ton Nu, Quan Le, Thuan Hoang Tran, Manh Duong Phung
2025	J	`jnl`	Real-time recognition of human interactions from a single RGB-D camera for socially-aware robot navigation. Intell. Serv. Robotics Thanh Long Nguyen, Duc Phu Nguyen, Thanh Thao Ton Nu, Quan Le, Thuan Hoang Tran, Manh Duong Phung
2025	J	`jnl`	Thyroid nodule segmentation in ultrasound images using transformer models with masked autoencoder pre-training. Frontiers Artif. Intell. Yi Xiang, U. Rajendra Acharya, Quan Le, Jen Hong Tan, Chiaw-Ling Chng
2025	J	`jnl`	ToolBrain: A Flexible Reinforcement Learning Framework for Agentic Tools. CoRR Quy Minh Le, Minh Sao Khue Luu, Khanh-Tung Tran, Duc-Hai Nguyen, Hoang-Quoc-Viet Pham, Quan Le, Hoang Thanh Lam, Hoang D. Nguyen
2024	J	`jnl`	A Robust Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via (De)Randomized Smoothing. CoRR Daniel Gibert, Giulio Zizzo, Quan Le, Jordi Planes
2024	J	`jnl`	Adversarial Robustness of Deep Learning-Based Malware Detectors via (De)Randomized Smoothing. IEEE Access Daniel Gibert, Giulio Zizzo, Quan Le, Jordi Planes
2024	J	`jnl`	Assessing the Impact of Packing on Machine Learning-Based Malware Detection and Classification Systems. CoRR Daniel Gibert, Nikolaos Totosis, Constantinos Patsakis, Giulio Zizzo, Quan Le
2024	J	`jnl`	Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De)Randomized Smoothing. CoRR Daniel Gibert, Luca Demetrio, Giulio Zizzo, Quan Le, Jordi Planes, Battista Biggio
2024	—	`conf`	Insights from the Participatory Design of a Virtual Reality Spatial Navigation Application for Veterans with a History of TBI. VR Workshops Lila Bozgeyikli, Evren Bozgeyikli, Ryu Funakoshiya, Quan Le, Kyle Walker, L. Matthew Law, Daniel R. Griffiths, Arne D. Ekstrom, Jonathan Lifshitz
2024	C	`conf`	Using GitHub Analytics to Assess the Quality of Collaboration in Software Engineering Teams. FIE Quan Le, Kiet Phan, Bowen Hui, Adara Putri
2023	—	`conf`	A Wolf in Sheep's Clothing: Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks. EuroS&P Workshops Daniel Gibert, Jordi Planes, Quan Le, Giulio Zizzo
2023	A*	`conf`	American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers. NeurIPS Melissa Dell, Jacob Carlson, Tom Bryan, Emily Silcock, Abhishek Arora, Zejiang Shen, Luca D'Amico-Wong, Quan Le, Pablo Querubin, Leander Heldring
2023	J	`jnl`	American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers. CoRR Melissa Dell, Jacob Carlson, Tom Bryan, Emily Silcock, Abhishek Arora, Zejiang Shen, Luca D'Amico-Wong, Quan Le, Pablo Querubin, Leander Heldring
2023	—	`conf`	Certified Robustness of Static Deep Learning-based Malware Detectors against Patch and Append Attacks. AISec@CCS Daniel Gibert, Giulio Zizzo, Quan Le
2023	J	`jnl`	Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks. CoRR Daniel Gibert, Jordi Planes, Quan Le, Giulio Zizzo
2023	—	`conf`	Towards a Framework for the Global Assessment of Sensitive Attribute Bias Within Binary Classification Algorithms. EWAF Adrian Byrne, Ivan Caffrey, Quan Le
2023	—	`conf`	Towards a Practical Defense Against Adversarial Attacks on Deep Learning-Based Malware Detectors via Randomized Smoothing. ESORICS Workshops (2) Daniel Gibert, Giulio Zizzo, Quan Le
2023	J	`jnl`	Towards a Practical Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via Randomized Smoothing. CoRR Daniel Gibert, Giulio Zizzo, Quan Le
2022	J	`jnl`	Enhancing the insertion of NOP instructions to obfuscate malware via deep reinforcement learning. Comput. Secur. Daniel Gibert, Matt Fredrikson, Carles Mateu, Jordi Planes, Quan Le
2022	J	`jnl`	Fusing Feature Engineering and Deep Learning: A Case Study for Malware Classification. CoRR Daniel Gibert, Carles Mateu, Jordi Planes, Quan Le
2022	J	`jnl`	Fusing feature engineering and deep learning: A case study for malware classification. Expert Syst. Appl. Daniel Gibert, Jordi Planes, Carles Mateu, Quan Le
2021	J	`jnl`	Enhancing the Insertion of NOP Instructions to Obfuscate Malware via Deep Reinforcement Learning. CoRR Daniel Gibert, Matt Fredrikson, Carles Mateu, Jordi Planes, Quan Le
2021	J	`jnl`	Identifying Internet of Things software activities using deep learning-based electromagnetic side-channel analysis. Digit. Investig. Quan Le, Luis Miralles-Pechuán, Asanka P. Sayakkara, Nhien-An Le-Khac, Mark Scanlon
2020	—	`conf`	Automated Artefact Relevancy Determination from Artefact Metadata and Associated Timeline Events. Cyber Security Xiaoyu Du, Quan Le, Mark Scanlon
2020	J	`jnl`	Automated Artefact Relevancy Determination from Artefact Metadata and Associated Timeline Events. CoRR Xiaoyu Du, Quan Le, Mark Scanlon
2019	—	`conf`	Using Text Classification Methods to Detect Malware. AICS Eoghan Cunningham, Oisín Boydell, Cormac Doherty, Benjamin Roques, Quan Le
2018	J	`jnl`	Deep learning at the shallow end: Malware classification for non-domain experts. CoRR Quan Le, Oisín Boydell, Brian Mac Namee, Mark Scanlon
2018	J	`jnl`	Deep learning at the shallow end: Malware classification for non-domain experts. Digit. Investig. Quan Le, Oisín Boydell, Brian Mac Namee, Mark Scanlon
2017	J	`jnl`	Protein multiple sequence alignment benchmarking through secondary structure prediction. Bioinform. Quan Le, Fabian Sievers, Desmond G. Higgins
2009	J	`jnl`	An Optical Transimpedance Amplifier Using an Inductive Buffer Stage Technique. IEICE Trans. Commun. Sang Hyun Park, Quan Le, Bo-Hun Choi
2008	J	`jnl`	Burst-mode optical transmitter with DC-coupled burst-enable signal for 2.5-Gb/s GPON system. Microelectron. J. Sang Hyun Park, Mikko Karppinen, Quan Le, Bin Young Yoon
2008	J	`jnl`	Energy-Efficient Low-Complexity CMOS Pulse Generator for Multiband UWB Impulse Radio. IEEE Trans. Circuits Syst. I Regul. Pap. Anh-Tuan Phan, Jeong-Seon Lee, Vladimir Krizhanovskii, Quan Le, Seok-Kyun Han, Sang-Gug Lee
2007	—	`conf`	A CMOS Burst-Mode TIA with Step AGC and Selective Internally Created Reset for 1.25Gb/s EPON. ISSCC Quan Le, Sang-Gug Lee, Ho-Yong Kang, Sang-Hoon Chang
2006	J	`jnl`	A 95-dB linear low-power variable gain amplifier. IEEE Trans. Circuits Syst. I Regul. Pap. Quoc-Hoang Duong, Quan Le, Chang-Wan Kim, Sang-Gug Lee
2005	J	`jnl`	A CMOS burst-mode optical transmitter for 1.25-Gb/s ethernet PON applications. IEEE Trans. Circuits Syst. II Express Briefs Yong-Hun Oh, Sang-Gug Lee, Quan Le, Ho-Yong Kang, Tae-Whan Yoo
2004	J	`jnl`	A burst-mode receiver for 1.25-Gb/s ethernet PON with AGC and internally created reset signal. IEEE J. Solid State Circuits Quan Le, Sang-Gug Lee, Yong-Hun Oh, Ho-Yong Kang, Tae-Whan Yoo
2004	—	`conf`	Burst-mode transmitter for 1.25Gb/s Ethernet PON applications [passive optical networks]. ESSCIRC Yong-Hun Oh, Quan Le, Sang-Gug Lee, Nguyen Duy Bien Yen, Ho-Yong Kang, Tae-Whan Yoo
2003	C	`conf`	Client Dependent GMM-SVM Models for Speaker Verification. ICANN Quan Le, Samy Bengio