106 citations · 310 across the 82 of their papers we have counts for
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Golden Ratio Search: A Low-Power Adversarial Attack for Deep Learning based Modulation Classification
Deepsayan Sadhukhan, Nitin Priyadarshini Shankar, Sheetal Kalyani
We propose a minimal power white box adversarial attack for Deep Learning based Automatic Modulation Classification (AMC). The proposed attack uses the Golden Ratio Search (GRS) me…
Differential Privacy with Higher Utility by Exploiting Coordinate-wise Disparity: Laplace Mechanism Can Beat Gaussian in High Dimensions
Gokularam Muthukrishnan, Sheetal Kalyani
Conventionally, in a differentially private additive noise mechanism, independent and identically distributed (i.i.d.) noise samples are added to each coordinate of the response. I…
Grafting Laplace and Gaussian distributions: A new noise mechanism for differential privacy
Gokularam Muthukrishnan, Sheetal Kalyani
The framework of differential privacy protects an individual's privacy while publishing query responses on congregated data. In this work, a new noise addition mechanism for differ…
Introducing the Huber mechanism for differentially private low-rank matrix completion
R Adithya Gowtham, Gokularam M, Thulasi Tholeti +1
Performing low-rank matrix completion with sensitive user data calls for privacy-preserving approaches. In this work, we propose a novel noise addition mechanism for preserving dif…