activity
20182023
most citedImproving Adversarial Robustness of Ensembles with Diversity Training

98 citations · 324 across the 24 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

quant-ph2022★ 3 cited

FrozenQubits: Boosting Fidelity of QAOA by Skipping Hotspot Nodes

Ramin Ayanzadeh, Narges Alavisamani, Poulami Das +1

Quantum Approximate Optimization Algorithm (QAOA) is one of the leading candidates for demonstrating the quantum advantage using near-term quantum computers. Unfortunately, high de…

cs.LG2022★ 5 cited

Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning using Independent Component Analysis

Sanjay Kariyappa, Chuan Guo, Kiwan Maeng +4

Federated learning (FL) aims to perform privacy-preserving machine learning on distributed data held by multiple data owners. To this end, FL requires the data owners to perform tr…

cs.CR2022★ 2 cited

SecDDR: Enabling Low-Cost Secure Memories by Protecting the DDR Interface

Ali Fakhrzadehgan, Prakash Ramrakhyani, Moinuddin K. Qureshi +1

The security goals of cloud providers and users include memory confidentiality and integrity, which requires implementing Replay-Attack protection (RAP). RAP can be achieved using…

quant-ph2022★ 24 cited

HAMMER: boosting fidelity of noisy Quantum circuits by exploiting Hamming behavior of erroneous outcomes

Swamit Tannu, Poulami Das, Ramin Ayanzadeh +1

Quantum computers with hundreds of qubits will be available soon. Unfortunately, high device error-rates pose a significant challenge in using these near-term quantum systems to po…

quant-ph2022★ 2 cited

ForeSight: Reducing SWAPs in NISQ Programs via Adaptive Multi-Candidate Evaluations

Poulami Das, Suhas K. Vittal, Moinuddin Qureshi

Near-term quantum computers are noisy and have limited connectivity between qubits. Compilers are required to introduce SWAP operations in order to perform two-qubit gates between…