Zhuoran Liu - RankMe

44 papers A* 10A 2B 1Misc 1Journal 20Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Generative AI and the Threat to Thinking. IEEE Secur. Priv. Martha A. Larson, Zhuoran Liu
2025	J	`jnl`	Level Up with ML Vulnerability Identification: Leveraging Domain Constraints in Feature Space for Robust Android Malware Detection. ACM Trans. Priv. Secur. Hamid Bostani, Zhengyu Zhao, Zhuoran Liu, Veelasha Moonsamy
2025	—	`conf`	MIDSCAN: Investigating the Portability Problem for Cross-Device DL-SCA. LightSec Lizzy Grootjen, Zhuoran Liu, Ileana Buhan
2025	J	`jnl`	Real-world Edge Neural Network Implementations Leak Private Interactions Through Physical Side Channel. CoRR Zhuoran Liu, Senna van Hoek, Péter Horváth, Dirk Lauret, Xiaoyun Xu, Lejla Batina
2025	J	`jnl`	Resisting Bag-Based Attribute Profiling by Adding Adversarial Items to Existing Media Profiles. IEEE Trans. Inf. Forensics Secur. Zhuoran Liu, Zhengyu Zhao, Martha A. Larson
2025	J	`jnl`	SoK: The Last Line of Defense: On Backdoor Defense Evaluation. CoRR Gorka Abad, Marina Krcek, Stefanos Koffas, Behrad Tajalli, Marco Arazzi, Roberto Riaño, Xiaoyun Xu, Zhuoran Liu, Antonino Nocera, Stjepan Picek
2025	A*	`conf`	Towards Backdoor Stealthiness in Model Parameter Space. CCS Xiaoyun Xu, Zhuoran Liu, Stefanos Koffas, Stjepan Picek
2025	J	`jnl`	Towards Backdoor Stealthiness in Model Parameter Space. CoRR Xiaoyun Xu, Zhuoran Liu, Stefanos Koffas, Stjepan Picek
2024	A*	`conf`	BAN: Detecting Backdoors Activated by Adversarial Neuron Noise. NeurIPS Xiaoyun Xu, Zhuoran Liu, Stefanos Koffas, Shujian Yu, Stjepan Picek
2024	J	`jnl`	BAN: Detecting Backdoors Activated by Adversarial Neuron Noise. CoRR Xiaoyun Xu, Zhuoran Liu, Stefanos Koffas, Shujian Yu, Stjepan Picek
2024	A*	`conf`	SoK: Neural Network Extraction Through Physical Side Channels. USENIX Security Symposium Péter Horváth, Dirk Lauret, Zhuoran Liu, Lejla Batina
2023	J	`jnl`	Adversarial Image Color Transformations in Explicit Color Filter Space. IEEE Trans. Inf. Forensics Secur. Zhengyu Zhao, Zhuoran Liu, Martha A. Larson
2023	Misc	`conf`	Beyond Neural-on-Neural Approaches to Speaker Gender Protection. ICASSP Loes van Bemmel, Zhuoran Liu, Nik Vaessen, Martha A. Larson
2023	J	`jnl`	Beyond Neural-on-Neural Approaches to Speaker Gender Protection. CoRR Loes van Bemmel, Zhuoran Liu, Nik Vaessen, Martha A. Larson
2023	A*	`conf`	Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression. ICML Zhuoran Liu, Zhengyu Zhao, Martha A. Larson
2023	J	`jnl`	Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression. CoRR Zhuoran Liu, Zhengyu Zhao, Martha A. Larson
2023	A*	`conf`	Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning? ICLR Rui Wen, Zhengyu Zhao, Zhuoran Liu, Michael Backes, Tianhao Wang, Yang Zhang
2023	—	`conf`	Textual Concept Expansion with Commonsense Knowledge to Improve Dual-Stream Image-Text Matching. MMM (1) Mingliang Liang, Zhuoran Liu, Martha A. Larson
2022	—	`ch.`	Adversarial Machine Learning. Security and Artificial Intelligence Carlos Javier Hernández-Castro, Zhuoran Liu, Alex Serban, Ilias Tsingenopoulos, Wouter Joosen
2022	J	`jnl`	Domain Constraints in Feature Space: Strengthening Robustness of Android Malware Detection against Realizable Adversarial Examples. CoRR Hamid Bostani, Zhuoran Liu, Zhengyu Zhao, Veelasha Moonsamy
2022	J	`jnl`	Generative Poisoning Using Random Discriminators. CoRR Dirren van Vlijmen, Alex Kolmus, Zhuoran Liu, Zhengyu Zhao, Martha A. Larson
2021	A*	`conf`	Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start. WWW Zhuoran Liu, Martha A. Larson
2021	J	`jnl`	Going Grayscale: The Road to Understanding and Improving Unlearnable Examples. CoRR Zhuoran Liu, Zhengyu Zhao, Alex Kolmus, Tijn Berns, Twan van Laarhoven, Tom Heskes, Martha A. Larson
2021	A*	`conf`	On Success and Simplicity: A Second Look at Transferable Targeted Attacks. NeurIPS Zhengyu Zhao, Zhuoran Liu, Martha A. Larson
2021	A	`conf`	Pivoting Image-based Profiles Toward Privacy: Inhibiting Malicious Profiling with Adversarial Additions. UMAP Zhuoran Liu, Zhengyu Zhao, Martha A. Larson
2021	A*	`conf`	Screen Gleaning: A Screen Reading TEMPEST Attack on Mobile Devices Exploiting an Electromagnetic Side Channel. NDSS Zhuoran Liu, Niels Samwel, Leo Weissbart, Zhengyu Zhao, Dirk Lauret, Lejla Batina, Martha A. Larson
2021	—	`ed.`	Working Notes Proceedings of the MediaEval 2020 Workshop, Online, 14-15 December 2020. MediaEval Steven Hicks, Debesh Jha, Konstantin Pogorelov, Alba García Seco de Herrera, Dmitry Bogdanov, Pierre-Etienne Martin, Stelios Andreadis, Minh-Son Dao, Zhuoran Liu, José Vargas Quiros, Benjamin Kille, Martha A. Larson
2020	J	`jnl`	A Differentiable Color Filter for Generating Unrestricted Adversarial Images. CoRR Zhengyu Zhao, Zhuoran Liu, Martha A. Larson
2020	A	`conf`	Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color Filter. BMVC Zhengyu Zhao, Zhuoran Liu, Martha A. Larson
2020	J	`jnl`	Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start. CoRR Zhuoran Liu, Martha A. Larson
2020	J	`jnl`	Adversarial Robustness Against Image Color Transformation within Parametric Filter Space. CoRR Zhengyu Zhao, Zhuoran Liu, Martha A. Larson
2020	J	`jnl`	On Success and Simplicity: A Second Look at Transferable Targeted Attacks. CoRR Zhengyu Zhao, Zhuoran Liu, Martha A. Larson
2020	—	`conf`	Pixel Privacy: Quality Camouflage for Social Images. MediaEval Zhuoran Liu, Zhengyu Zhao, Martha A. Larson, Laurent Amsaleg
2020	J	`jnl`	Screen Gleaning: A Screen Reading TEMPEST Attack on Mobile Devices Exploiting an Electromagnetic Side Channel. CoRR Zhuoran Liu, Niels Samwel, Leo Weissbart, Zhengyu Zhao, Dirk Lauret, Lejla Batina, Martha A. Larson
2020	A*	`conf`	Towards Large Yet Imperceptible Adversarial Image Perturbations With Perceptual Color Distance. CVPR Zhengyu Zhao, Zhuoran Liu, Martha A. Larson
2019	—	`conf`	Adversarial Photo Frame: Concealing Sensitive Scene Information of Social Images in a User-Acceptable Manner. MediaEval Zhuoran Liu, Zhengyu Zhao
2019	—	`conf`	Maintaining Perceptual Faithfulness of Adversarial Image Examples by Leveraging Color Variance. MediaEval Sam Sweere, Zhuoran Liu, Martha A. Larson
2019	—	`conf`	Pixel Privacy 2019: Protecting Sensitive Scene Information in Images. MediaEval Zhuoran Liu, Zhengyu Zhao, Martha A. Larson
2019	A*	`conf`	Reproducible Experiments on Adaptive Discriminative Region Discovery for Scene Recognition. ACM Multimedia Zhengyu Zhao, Zhuoran Liu, Martha A. Larson, Ahmet Iscen, Naoko Nitta
2019	J	`jnl`	Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance. CoRR Zhengyu Zhao, Zhuoran Liu, Martha A. Larson
2019	J	`jnl`	Who's Afraid of Adversarial Queries? The Impact of Image Modifications on Content-based Image Retrieval. CoRR Zhuoran Liu, Zhengyu Zhao, Martha A. Larson
2019	B	`conf`	Who's Afraid of Adversarial Queries?: The Impact of Image Modifications on Content-based Image Retrieval. ICMR Zhuoran Liu, Zhengyu Zhao, Martha A. Larson
2018	—	`conf`	First Steps in Pixel Privacy: Exploring Deep Learning-based Image Enhancement against Large-Scale Image Inference. MediaEval Zhuoran Liu, Zhengyu Zhao
2018	—	`conf`	Pixel Privacy: Increasing Image Appeal while Blocking Automatic Inference of Sensitive Scene Information. MediaEval Martha A. Larson, Zhuoran Liu, Simon Brugman, Zhengyu Zhao