Naresh Shanbhag
7 papers · 2017–2023 · 4 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🏃 Academic Marathon (6) 🐝 Cross-Pollinator (13)
🔥
Unstoppable
(5)
Conferences
ICML (3)
ICLR (2)
ECCV (1)
NIPS (1)
Top co-authors
Keywords
adversarial robustness
(2)
randomized ensemble
(2)
adversarial perturbation
(2)
model compression
(2)
deep neural network
(1)
robustness evaluation
(1)
ensemble classifier
(1)
depthwise separable convolution
(1)
norm-bounded adversary
(1)
efficient neural network
(1)
network quantization
(1)
numerical precision
(1)
post-training approximation
(1)
model robustness
(1)
adversarial attack
(1)
boosting algorithm
(1)
Papers
On the Robustness of Randomized Ensembles to Adversarial Perturbations
ICML 2023
Adversarial Vulnerability of Randomized Ensembles
ICML 2022
Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks
NIPS 2021
DBQ: A Differentiable Branch Quantizer for Lightweight Deep Neural Networks
ECCV 2020
Per-Tensor Fixed-Point Quantization of the Back-Propagation Algorithm
ICLR 2019
Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks
ICLR 2019
Analytical Guarantees on Numerical Precision of Deep Neural Networks
ICML 2017