98 citations · 324 across the 24 of their papers we have counts for
5 papers · 1 filter
ExPLoit: Extracting Private Labels in Split Learning
Sanjay Kariyappa, Moinuddin K Qureshi
Split learning is a popular technique used for vertical federated learning (VFL), where the goal is to jointly train a model on the private input and label data held by two parties…
JigSaw: Boosting Fidelity of NISQ Programs via Measurement Subsetting
Poulami Das, Swamit Tannu, Moinuddin Qureshi
Near-term quantum computers contain noisy devices, which makes it difficult to infer the correct answer even if a program is run for thousands of trials. On current machines, qubit…
ADAPT: Mitigating Idling Errors in Qubits via Adaptive Dynamical Decoupling
Poulami Das, Swamit Tannu, Siddharth Dangwal +1
The fidelity of applications on near-term quantum computers is limited by hardware errors. In addition to errors that occur during gate and measurement operations, a qubit is susce…
EQUAL: Improving the Fidelity of Quantum Annealers by Injecting Controlled Perturbations
Ramin Ayanzadeh, Poulami Das, Swamit S. Tannu +1
Quantum computing is an information processing paradigm that uses quantum-mechanical properties to speedup computationally hard problems. Although promising, existing gate-based qu…
Enabling Inference Privacy with Adaptive Noise Injection
Sanjay Kariyappa, Ousmane Dia, Moinuddin K Qureshi
User-facing software services are becoming increasingly reliant on remote servers to host Deep Neural Network (DNN) models, which perform inference tasks for the clients. Such serv…