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Publication search results
found 88 matches
- 2024
- Jiazhi Guan, Yi Zhao, Zhuoer Xu, Changhua Meng, Ke Xu, Youjian Zhao:
Adversarial Robust Safeguard for Evading Deep Facial Manipulation. AAAI 2024: 118-126 - 2023
- Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Text-Guided Image Manipulation via Generative Adversarial Network With Referring Image Segmentation-Based Guidance. IEEE Access 11: 42534-42545 (2023) - Guan-Lin Chen, Chih-Chung Hsu:
Jointly Defending DeepFake Manipulation and Adversarial Attack Using Decoy Mechanism. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9922-9931 (2023) - Yao Zhu, Yuefeng Chen, Xiaodan Li, Rong Zhang, Xiang Tian, Bolun Zheng, Yaowu Chen:
Information-Containing Adversarial Perturbation for Combating Facial Manipulation Systems. IEEE Trans. Inf. Forensics Secur. 18: 2046-2059 (2023) - Meriel von Stein, David Shriver, Sebastian G. Elbaum:
DeepManeuver: Adversarial Test Generation for Trajectory Manipulation of Autonomous Vehicles. IEEE Trans. Software Eng. 49(10): 4496-4509 (2023) - Son Tung Do, Gabrielle Ebbrecht, Juntao Chen:
Adversarial Manipulation of Learning in Linear-Quadratic Zero-Sum Differential Games via Cost Poisoning. CNS 2023: 1-6 - Peifei Zhu, Genki Osada, Hirokatsu Kataoka, Tsubasa Takahashi:
Frequency-aware GAN for Adversarial Manipulation Generation. ICCV 2023: 4292-4301 - Mingze Ni, Zhensu Sun, Wei Liu:
Frauds Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process. CoRR abs/2303.01234 (2023) - Yao Zhu, Yuefeng Chen, Xiaodan Li, Rong Zhang, Xiang Tian, Bolun Zheng, Yaowu Chen:
Information-containing Adversarial Perturbation for Combating Facial Manipulation Systems. CoRR abs/2303.11625 (2023) - Ahsi Lo, Gabriella Pangelinan, Michael C. King:
Analysis of Adversarial Image Manipulations. CoRR abs/2305.06307 (2023) - Xiaozhou You, Jian Zhang:
TextCLIP: Text-Guided Face Image Generation And Manipulation Without Adversarial Training. CoRR abs/2309.11923 (2023) - S. M. Fazle Rabby Labib, Joyanta Jyoti Mondal, Meem Arafat Manab:
Tailoring Adversarial Attacks on Deep Neural Networks for Targeted Class Manipulation Using DeepFool Algorithm. CoRR abs/2310.13019 (2023) - 2022
- Ahmed Salem:
Adversarial inference and manipulation of machine learning models. Saarland University, Saarbrücken, Germany, 2022 - Stefano Cresci, Marinella Petrocchi, Angelo Spognardi, Stefano Tognazzi:
Adversarial Machine Learning for Protecting Against Online Manipulation. IEEE Internet Comput. 26(2): 47-52 (2022) - Hao Shen, Weikang Wan, He Wang:
Learning Category-Level Generalizable Object Manipulation Policy Via Generative Adversarial Self-Imitation Learning From Demonstrations. IEEE Robotics Autom. Lett. 7(4): 11166-11173 (2022) - Yoshihisa Tsurumine, Takamitsu Matsubara:
Goal-aware generative adversarial imitation learning from imperfect demonstration for robotic cloth manipulation. Robotics Auton. Syst. 158: 104264 (2022) - Shuo Wang, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen, Tianle Chen, Zike An:
Defending Adversarial Attacks via Semantic Feature Manipulation. IEEE Trans. Serv. Comput. 15(6): 3184-3197 (2022) - Shivangi Aneja, Lev Markhasin, Matthias Nießner:
TAFIM: Targeted Adversarial Attacks Against Facial Image Manipulations. ECCV (14) 2022: 58-75 - Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Generative Adversarial Network Including Referring Image Segmentation For Text-Guided Image Manipulation. ICASSP 2022: 4818-4822 - Ying Xu, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch:
Adversarial Attacks on Face Recognition Systems. Handbook of Digital Face Manipulation and Detection 2022: 139-161 - Hao Shen, Weikang Wan, He Wang:
Learning Category-Level Generalizable Object Manipulation Policy via Generative Adversarial Self-Imitation Learning from Demonstrations. CoRR abs/2203.02107 (2022) - Jiaming Qi, Dongyu Li, Yufeng Gao, Peng Zhou, David Navarro-Alarcon:
Model Predictive Manipulation of Compliant Objects with Multi-Objective Optimizer and Adversarial Network for Occlusion Compensation. CoRR abs/2205.09987 (2022) - Yoshihisa Tsurumine, Takamitsu Matsubara:
Goal-Aware Generative Adversarial Imitation Learning from Imperfect Demonstration for Robotic Cloth Manipulation. CoRR abs/2209.10149 (2022) - 2021
- Rakshith Shetty:
Adversarial content manipulation for analyzing and improving model robustness. Saarland University, Saarbrücken, Germany, 2021 - Dawei Zhu, Aditya Mogadala, Dietrich Klakow:
Image manipulation with natural language using Two-sided Attentive Conditional Generative Adversarial Network. Neural Networks 136: 207-217 (2021) - Yifan Luo, Feng Ye, Bin Weng, Shan Du, Tianqiang Huang:
A Novel Defensive Strategy for Facial Manipulation Detection Combining Bilateral Filtering and Joint Adversarial Training. Secur. Commun. Networks 2021: 4280328:1-4280328:10 (2021) - Youngwoon Lee, Joseph J. Lim, Anima Anandkumar, Yuke Zhu:
Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization. CoRL 2021: 406-416 - Yutong Zhou, Nobutaka Shimada:
Generative Adversarial Network for Text-to-Face Synthesis and Manipulation with Pretrained BERT Model. FG 2021: 1-8 - Pingcheng Jian, Chao Yang, Di Guo, Huaping Liu, Fuchun Sun:
Adversarial Skill Learning for Robust Manipulation. ICRA 2021: 2555-2561 - Mohamed Khalil Jabri:
Robot Manipulation Learning Using Generative Adversarial Imitation Learning. IJCAI 2021: 4893-4894
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