Lu, Hanxiao, Huang, Zeyu, and Wang, Ren. Purification Of Contaminated Convolutional Neural Networks Via Robust Recovery: An Approach with Theoretical Guarantee in One-Hidden-Layer Case. Retrieved from https://par.nsf.gov/biblio/10586051. IEEE Journal of Selected Topics in Signal Processing . Web. doi:10.1109/JSTSP.2025.3549950.

Lu, Hanxiao, Huang, Zeyu, & Wang, Ren. Purification Of Contaminated Convolutional Neural Networks Via Robust Recovery: An Approach with Theoretical Guarantee in One-Hidden-Layer Case. IEEE Journal of Selected Topics in Signal Processing, (). Retrieved from https://par.nsf.gov/biblio/10586051. https://doi.org/10.1109/JSTSP.2025.3549950

Lu, Hanxiao, Huang, Zeyu, and Wang, Ren. "Purification Of Contaminated Convolutional Neural Networks Via Robust Recovery: An Approach with Theoretical Guarantee in One-Hidden-Layer Case". IEEE Journal of Selected Topics in Signal Processing (). Country unknown/Code not available: IEEE. https://doi.org/10.1109/JSTSP.2025.3549950. https://par.nsf.gov/biblio/10586051.

@article{osti_10586051,
place = {Country unknown/Code not available}, title = {Purification Of Contaminated Convolutional Neural Networks Via Robust Recovery: An Approach with Theoretical Guarantee in One-Hidden-Layer Case}, url = {https://par.nsf.gov/biblio/10586051}, DOI = {10.1109/JSTSP.2025.3549950}, abstractNote = {}, journal = {IEEE Journal of Selected Topics in Signal Processing}, publisher = {IEEE}, author = {Lu, Hanxiao and Huang, Zeyu and Wang, Ren}, }