Delving into the Adversarial Robustness of Federated Learning

19 February 2023

Papers citing "Delving into the Adversarial Robustness of Federated Learning"

27 / 27 papers shown

Title
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence Yu Qiao Huy Q. Le Avi Deb Raha Phuong-Nam Tran Apurba Adhikary Mengchun Zhang Loc X. Nguyen Eui-nam Huh Dusit Niyato C. Hong AI4CE 21 0 0 11 May 2025
QFAL: Quantum Federated Adversarial Learning Walid El Maouaki Nouhaila Innan Alberto Marchisio Taoufik Said Mohamed Bennai Muhammad Shafique FedML 45 4 0 28 Feb 2025
FedEAT: A Robustness Optimization Framework for Federated LLMs Yahao Pang Xingyuan Wu Xiaojin Zhang Wei Chen Hai Jin FedML 77 0 0 17 Feb 2025
Central limit theorems for vector-valued composite functionals with smoothing and applications Huhui Chen Darinka Dentcheva Yang Lin Gregory J. Stock 45 3 0 26 Dec 2024
TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning Gangqiang Hu Jianfeng Lu Jianmin Han Shuqin Cao Jing Liu Hao Fu 64 0 0 16 Dec 2024
Robust Model Evaluation over Large-scale Federated Networks Amir Najafi Samin Mahdizadeh Sani Farzan Farnia OOD FedML 17 0 0 26 Oct 2024
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 28 0 0 19 Oct 2024
Counter Denial of Service for Next-Generation Networks within the Artificial Intelligence and Post-Quantum Era Saleh Darzi Attila A. Yavuz AAML 29 2 0 08 Aug 2024
Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data Yu Qiao Chaoning Zhang Apurba Adhikary Choong Seon Hong FedML 25 7 0 10 Apr 2024
Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation Kyohoon Jin Junho Lee Juhwan Choi Sangmin Song Youngbin Kim 32 0 0 22 Mar 2024
Towards Robust Federated Learning via Logits Calibration on Non-IID Data Yu Qiao Apurba Adhikary Chaoning Zhang Choong Seon Hong FedML 17 8 0 05 Mar 2024
Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning via Adversarial Training L. Park Jaeuk Kim Myung Gyo Oh Jaewoo Park T.-H. Kwon AAML 30 4 0 19 Feb 2024
FLIPS: Federated Learning using Intelligent Participant Selection R. Bhope K. R. Jayaram N. Venkatasubramanian Ashish Verma Gegi Thomas FedML 17 3 0 07 Aug 2023
Federated Generative Learning with Foundation Models Jie M. Zhang Xiaohua Qi Bo-Lu Zhao FedML 37 21 0 28 Jun 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu C. L. P. Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 86 85 0 27 Jun 2023
Federated Incremental Semantic Segmentation Jiahua Dong Duzhen Zhang Yang Cong Wei Cong Henghui Ding Dengxin Dai FedML 29 39 0 10 Apr 2023
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting Yuchen Liu Chen Chen Lingjuan Lyu Fangzhao Wu Sai Wu Gang Chen 25 13 0 13 Feb 2023
No One Left Behind: Real-World Federated Class-Incremental Learning Jiahua Dong Hongliu Li Yang Cong Gan Sun Yulun Zhang Dengxin Dai FedML CLL 13 38 0 02 Feb 2023
Accelerating Dataset Distillation via Model Augmentation Lei Zhang Jie M. Zhang Bowen Lei Subhabrata Mukherjee Xiang Pan Bo-Lu Zhao Caiwen Ding Y. Li Dongkuan Xu DD 21 62 0 12 Dec 2022
CalFAT: Calibrated Federated Adversarial Training with Label Skewness Chen Chen Yuchen Liu Xingjun Ma Lingjuan Lyu FedML 159 32 0 30 May 2022
A Secure and Efficient Federated Learning Framework for NLP Jieren Deng Chenghong Wang Xianrui Meng Yijue Wang Ji Li Sheng Lin Shuo Han Fei Miao Sanguthevar Rajasekaran Caiwen Ding FedML 69 22 0 28 Jan 2022
SingGAN: Generative Adversarial Network For High-Fidelity Singing Voice Generation Rongjie Huang Chenye Cui Feiyang Chen Yi Ren Jinglin Liu Zhou Zhao Baoxing Huai N. Yuan GAN 89 62 0 14 Oct 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning Shaoxiong Ji Yue Tan Teemu Saravirta Zhiqin Yang Yixin Liu Lauri Vasankari Shirui Pan Guodong Long A. Walid FedML 21 76 0 25 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Q. Li Yiqun Diao Quan Chen Bingsheng He FedML OOD 87 943 0 03 Feb 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 169 355 0 07 Dec 2020
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization Saehyung Lee Hyungyu Lee Sungroh Yoon AAML 151 113 0 05 Mar 2020
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 250 5,830 0 08 Jul 2016