Mohammad Partohaghighi
2 indexed papers
Recent (6 mo)
2With code
0Influential cites
0Benchmarked
0Publications per year
226
Top categories
ML×2Crypto×2
Frequent co-authors
Research Timeline
2026
Deep Learning under Fractional-Order Differential Privacy
The paper introduces Fractional-Order Differentially Private Stochastic Gradient Descent (FO-DP-SGD), a mechanism that incorporates fractional memory into the gradient release process to improve privacy-utility trade-offs in private optimization.
SMA-DP: Spectral Memory-Aware Differential Privacy for Deep Learning
The paper introduces SMA-DP-SGD, a Spectral Memory-Aware Differential Privacy method that enhances standard DP-SGD by incorporating a memory branch derived from past noisy updates, improving model utility on challenging datasets.
Highlighted terms show continued research focus across papers
Papers
cs.LGcs.CRRecentMay 19, 2026
SMA-DP: Spectral Memory-Aware Differential Privacy for Deep Learning
The paper introduces SMA-DP-SGD, a Spectral Memory-Aware Differential Privacy method that enhances standard DP-SGD by incorporating a memory branch derived from past noisy updates, improving model uti…
View →
cs.CRcs.LGRecentMay 11, 2026