Stebėti
Zhengyu Zhao
Pavadinimas
Cituota
Cituota
Metai
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
1432020
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
1012021
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
86*2018
Membership Inference Attacks by Exploiting Loss Trajectory
Y Liu, Z Zhao, M Backes, Y Zhang
ACM Conference on Computer and Communications Security (CCS), 2022
532022
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
482019
Adversarial Image Color Transformations in Explicit Color Filter Space
Z Zhao, Z Liu, M Larson
IEEE Transactions on Information Forensics and Security (TIFS), 2023
44*2023
RU Team@MediaEval Tasks
Z Zhao*, Z Liu*, M Larson
Multimedia Evaluation Benchmark Workshop (MediaEval), 2018
38*2018
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
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
Pixel Privacy Task: Protecting Visual Privacy via Adversarial Image Transformations
M Larson, Z Liu, Z Zhao, S Brugman, L Amsaleg
Multimedia Evaluation Benchmark Workshop (MediaEval), 2018
27*2018
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
252021
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
21*2023
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression
Z Liu, Z Zhao, M Larson
International Conference on Machine Learning (ICML), 2023
21*2023
Composite Backdoor Attacks against Large Language Models
H Huang, Z Zhao, M Backes, Y Shen, Y Zhang
North American Chapter of the Association for Computational Linguistics …, 2024
162024
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
142023
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
112023
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
4*2024
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
42023
Generative Poisoning Using Random Discriminators
D van Vlijmen, A Kolmus, Z Liu, Z Zhao, M Larson
ECCV Workshop on Responsible Computer Vision (ECCV-RCV), 2022
32022
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Straipsniai 1–20