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09/10/2023
DAD++: Improved Data-free Test Time Adversarial Defense
With the increasing deployment of deep neural networks in safety-critica...
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08/14/2023
DISBELIEVE: Distance Between Client Models is Very Essential for Effective Local Model Poisoning Attacks
Federated learning is a promising direction to tackle the privacy issues...
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11/03/2022
Robust Few-shot Learning Without Using any Adversarial Samples
The high cost of acquiring and annotating samples has made the `few-shot...
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11/03/2022
Data-free Defense of Black Box Models Against Adversarial Attacks
Several companies often safeguard their trained deep models (i.e. detail...
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10/17/2022
DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers
Certified defense using randomized smoothing is a popular technique to p...
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05/05/2022
Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems
Adversarial attack perturbs an image with an imperceptible noise, leadin...
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04/04/2022
DAD: Data-free Adversarial Defense at Test Time
Deep models are highly susceptible to adversarial attacks. Such attacks ...
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10/27/2021
Beyond Classification: Knowledge Distillation using Multi-Object Impressions
Knowledge Distillation (KD) utilizes training data as a transfer set to ...
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10/26/2021
Incremental Learning for Animal Pose Estimation using RBF k-DPP
Pose estimation is the task of locating keypoints for an object of inter...
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01/15/2021
Data Impressions: Mining Deep Models to Extract Samples for Data-free Applications
Pretrained deep models hold their learnt knowledge in the form of the mo...
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11/18/2020
Effectiveness of Arbitrary Transfer Sets for Data-free Knowledge Distillation
Knowledge Distillation is an effective method to transfer the learning a...
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08/03/2020
Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images
In the emerging commercial space industry there is a drastic increase in...
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12/27/2019
DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier
In this era of digital information explosion, an abundance of data from ...
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05/20/2019