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Zhengyu Zhao
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Cited by
Year
Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance
Z Zhao, Z Liu, M Larson
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
1652020
On Success and Simplicity: A Second Look at Transferable Targeted Attacks
Z Zhao, Z Liu, M Larson
Advances in Neural Information Processing Systems (NeurIPS), 2021
1202021
Membership Inference Attacks by Exploiting Loss Trajectory
Y Liu, Z Zhao, M Backes, Y Zhang
ACM Conference on Computer and Communications Security (CCS), 2022
872022
Adversarial Image Color Transformations in Explicit Color Filter Space
Z Zhao, Z Liu, M Larson
IEEE Transactions on Information Forensics and Security (TIFS), 2023
55*2023
Multimedia Satellite Task: Flooding Events Recognition from Social Media
B Bischke, P Helber, Z Zhao, J De Bruijn, D Borth
Multimedia Evaluation Benchmark Workshop (MediaEval), 2018
53*2018
Composite Backdoor Attacks against Large Language Models
H Huang, Z Zhao, M Backes, Y Shen, Y Zhang
North American Association for Computational Linguistics (NAACL) Findings, 2024
492024
Who's Afraid of Adversarial Queries? The Impact of Image Modifications on Content-based Image Retrieval
Z Liu, Z Zhao, M Larson
ACM International Conference on Multimedia Retrieval (ICMR), 2019
492019
Median Filtering Forensics in Digital Images Based on Frequency-Domain Features
A Liu, Z Zhao, C Zhang, Y Su
Multimedia Tools and Applications (MTAP), 2017
372017
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression
Z Liu, Z Zhao, M Larson
International Conference on Machine Learning (ICML), 2023
35*2023
From Volcano to Toyshop: Adaptive Discriminative Region Discovery for Scene Recognition
Z Zhao, M Larson
ACM International Conference on Multimedia (ACM MM), 2018
34*2018
Smooth Filtering Identification based on Convolutional Neural Networks
A Liu, Z Zhao, C Zhang, Y Su
Multimedia Tools and Applications (MTAP), 2017
342017
Screen Gleaning: A Screen Reading TEMPEST Attack on Mobile Devices Exploiting an Electromagnetic Side Channel
Z Liu, N Samwel, L Weissbart, Z Zhao, D Lauret, L Batina, M Larson
Network and Distributed System Security Symposium (NDSS), 2021
332021
RU Team@MediaEval Tasks
Z Zhao*, Z Liu*, M Larson
Multimedia Evaluation Benchmark Workshop (MediaEval), 2018
32*2018
Pixel Privacy Task: Protecting Visual Privacy via Adversarial Image Transformations
Z Liu, Z Zhao, M Larson, S Brugman, L Amsaleg
Multimedia Evaluation Benchmark Workshop (MediaEval), 2018
32*2018
Revisiting Transferable Adversarial Image Examples: Attack Categorization, Evaluation Guidelines, and New Insights
Z Zhao*, H Zhang*, R Li*, R Sicre, L Amsaleg, M Backes, Q Li, C Shen
arXiv preprint arXiv:2310.11850, 2023
24*2023
Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?
R Wen, Z Zhao, Z Liu, M Backes, T Wang, Y Zhang
International Conference on Learning Representations (ICLR), 2023
232023
Generative watermarking against unauthorized subject-driven image synthesis
Y Ma, Z Zhao, X He, Z Li, M Backes, Y Zhang
arXiv preprint arXiv:2306.07754, 2023
192023
Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization
Y Yang, C Lin, Q Li, Z Zhao, H Fan, D Zhou, N Wang, T Liu, C Shen
IEEE Transactions on Information Forensics and Security (TIFS), 2024
10*2024
Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving
J Zheng, C Lin, J Sun, Z Zhao, Q Li, C Shen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
92024
Robustness Over Time: Understanding Adversarial Examples' Effectiveness on Longitudinal Versions of Large Language Models
Y Liu*, T Cong*, Z Zhao, M Backes, Y Shen, Y Zhang
arXiv preprint arXiv:2308.07847, 2023
92023
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Articles 1–20