3 citations · 4 across the 4 of their papers we have counts for
6 papers
PerQ: Inverse Generative Modeling for Neural Image Compression via Quantization Error Compensation
Tianhao Peng, Ho Man Kwan, Fan Zhang +2
Neural image codecs face a fundamental trade-off between pixel fidelity and perceptual quality. Distortion-optimized codecs preserve pixel-wise fidelity but produce blurred reconst…
Long-Term Fairness in Sequential Multi-Agent Selection with Positive Reinforcement
Bhagyashree Puranik, Ozgur Guldogan, Upamanyu Madhow +1
While much of the rapidly growing literature on fair decision-making focuses on metrics for one-shot decisions, recent work has raised the intriguing possibility of designing seque…
Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective
Bhagyashree Puranik, Ahmad Beirami, Yao Qin +1
State-of-the-art techniques for enhancing robustness of deep networks mostly rely on empirical risk minimization with suitable data augmentation. In this paper, we propose a comple…
Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis Testing
Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani
Machine learning models are known to be susceptible to adversarial attacks which can cause misclassification by introducing small but well designed perturbations. In this paper, we…
Adversarially Robust Classification based on GLRT
Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani
Machine learning models are vulnerable to adversarial attacks that can often cause misclassification by introducing small but well designed perturbations. In this paper, we explore…
A Study on the Impact of Locality in the Decoding of Binary Cyclic Codes
M. Nikhil Krishnan, Bhagyashree Puranik, P. Vijay Kumar +2
In this paper, we study the impact of locality on the decoding of binary cyclic codes under two approaches, namely ordered statistics decoding (OSD) and trellis decoding. Given a b…