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07/07/2021
On Codomain Separability and Label Inference from (Noisy) Loss Functions
Machine learning classifiers rely on loss functions for performance eval...
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05/18/2021
Label Inference Attacks from Log-loss Scores
Log-loss (also known as cross-entropy loss) metric is ubiquitously used ...
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04/23/2021
On a Utilitarian Approach to Privacy Preserving Text Generation
Differentially-private mechanisms for text generation typically add care...
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12/10/2020
Research Challenges in Designing Differentially Private Text Generation Mechanisms
Accurately learning from user data while ensuring quantifiable privacy g...
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10/22/2020
A Differentially Private Text Perturbation Method Using a Regularized Mahalanobis Metric
Balancing the privacy-utility tradeoff is a crucial requirement of many ...
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09/27/2020
Differentially Private Adversarial Robustness Through Randomized Perturbations
Deep Neural Networks, despite their great success in diverse domains, ar...
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09/17/2020
On Primes, Log-Loss Scores and (No) Privacy
Membership Inference Attacks exploit the vulnerabilities of exposing mod...
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09/01/2020
LoCUS: A multi-robot loss-tolerant algorithm for surveying volcanic plumes
Measurement of volcanic CO2 flux by a drone swarm poses special challeng...
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11/27/2019
On the Minimal Set of Inputs Required for Efficient Neuro-Evolved Foraging
In this paper, we perform an ablation study of , a neuro-evolved foragin...
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11/27/2019
A Most Irrational Foraging Algorithm
We present a foraging algorithm, GoldenFA, in which search direction is ...
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09/21/2019
Multithreaded Filtering Preconditioner for Diffusion Equation on Structured Grid
A parallel and nested version of a frequency filtering preconditioner is...
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08/06/2018
Paying Attention to Attention: Highlighting Influential Samples in Sequential Analysis
In (Yang et al. 2016), a hierarchical attention network (HAN) is created...
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09/14/2017
