Mani Srivastava | DeepAI

AI Chat

Featured Co-authors

Kai-Wei Chang
160 publications
Zhuowen Tu
55 publications
Insup Lee
46 publications
Alun Preece
36 publications
Alessandra Russo
33 publications
Erik Blasch
31 publications
Ziqi Wang
31 publications
Zhiru Zhang
31 publications
Yash Sharma
27 publications
Yasser Shoukry
24 publications
Federico Cerutti
22 publications

∙ 07/24/2023

Why Don't You Clean Your Glasses? Perception Attacks with Dynamic Optical Perturbations

Camera-based autonomous systems that emulate human perception are increa...

0 Yi Han, et al. ∙

∙ 06/04/2023

Heteroskedastic Geospatial Tracking with Distributed Camera Networks

Visual object tracking has seen significant progress in recent years. Ho...

0 Colin Samplawski, et al. ∙

∙ 04/10/2023

Eagle: End-to-end Deep Reinforcement Learning based Autonomous Control of PTZ Cameras

Existing approaches for autonomous control of pan-tilt-zoom (PTZ) camera...

0 Sandeep Singh Sandha, et al. ∙

∙ 10/14/2022

Let's Talk Through Physics! Covert Cyber-Physical Data Exfiltration on Air-Gapped Edge Devices

Although organizations are continuously making concerted efforts to hard...

0 Matthew Chan, et al. ∙

∙ 06/28/2022

On the amplification of security and privacy risks by post-hoc explanations in machine learning models

A variety of explanation methods have been proposed in recent years to h...

0 Pengrui Quan, et al. ∙

∙ 06/21/2022

Automatic Concept Extraction for Concept Bottleneck-based Video Classification

Recent efforts in interpretable deep learning models have shown that con...

0 Jeya Vikranth Jeyakumar, et al. ∙

∙ 05/29/2022

Machine Learning for Microcontroller-Class Hardware – A Review

The advancements in machine learning opened a new opportunity to bring i...

0 Swapnil Sayan Saha, et al. ∙

∙ 04/25/2022

PhysioGAN: Training High Fidelity Generative Model for Physiological Sensor Readings

Generative models such as the variational autoencoder (VAE) and the gene...

16 Moustafa Alzantot, et al. ∙

∙ 02/03/2022

VindiCo: Privacy Safeguard Against Adaptation Based Spyware in Human-in-the-Loop IoT

Personalized IoT adapts their behavior based on contextual information, ...

0 Salma Elmalaki, et al. ∙

∙ 10/15/2021

Using DeepProbLog to perform Complex Event Processing on an Audio Stream

In this paper, we present an approach to Complex Event Processing (CEP) ...

0 Marc Roig Vilamala, et al. ∙

∙ 01/31/2021

Towards Imperceptible Query-limited Adversarial Attacks with Perceptual Feature Fidelity Loss

Recently, there has been a large amount of work towards fooling deep-lea...

5 Pengrui Quan, et al. ∙

∙ 10/27/2020

An Experimentation Platform for Explainable Coalition Situational Understanding

We present an experimentation platform for coalition situational underst...

0 Katie Barrett-Powell, et al. ∙

∙ 10/23/2020

Towards human-agent knowledge fusion (HAKF) in support of distributed coalition teams

Future coalition operations can be substantially augmented through agile...

0 Dave Braines, et al. ∙

∙ 09/07/2020

A Hybrid Neuro-Symbolic Approach for Complex Event Processing

Training a model to detect patterns of interrelated events that form sit...

0 Marc Roig Vilamala, et al. ∙

∙ 07/18/2020

Quick Question: Interrupting Users for Microtasks with Reinforcement Learning

Human attention is a scarce resource in modern computing. A multitude of...

0 Bo-Jhang Ho, et al. ∙

∙ 05/22/2020

MANGO: A Python Library for Parallel Hyperparameter Tuning

Tuning hyperparameters for machine learning algorithms is a tedious task...

0 Sandeep Singh Sandha, et al. ∙

∙ 05/06/2020

I Always Feel Like Somebody's Sensing Me! A Framework to Detect, Identify, and Localize Clandestine Wireless Sensors

The increasing ubiquity of low-cost wireless sensors in smart homes and ...

0 Akash Deep Singh, et al. ∙

∙ 11/18/2019

NeuronInspect: Detecting Backdoors in Neural Networks via Output Explanations

Deep neural networks have achieved state-of-the-art performance on vario...

0 Xijie Huang, et al. ∙

∙ 08/05/2019

NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning

Deep Neural Networks (DNNs) deliver state-of-the-art performance in many...

6 Moustafa Alzantot, et al. ∙

∙ 06/06/2018

Optimization vs. Reinforcement Learning for Wirelessly Powered Sensor Networks

We consider a sensing application where the sensor nodes are wirelessly ...

0 Ayca Ozcelikkale, et al. ∙

∙ 05/28/2018

GenAttack: Practical Black-box Attacks with Gradient-Free Optimization

Deep neural networks (DNNs) are vulnerable to adversarial examples, even...

0 Moustafa Alzantot, et al. ∙

∙ 04/21/2018

Generating Natural Language Adversarial Examples

Deep neural networks (DNNs) are vulnerable to adversarial examples, pert...

0 Moustafa Alzantot, et al. ∙

∙ 02/03/2018

Realizing Uncertainty-Aware Timing Stack in Embedded Operating System

Time awareness is critical to a broad range of emerging applications – i...

0 Amr Alanwar, et al. ∙

∙ 01/22/2018

SecSens: Secure State Estimation with Application to Localization and Time Synchronization

Research evidence in Cyber-Physical Systems (CPS) shows that the introdu...

0 Amr Alanwar, et al. ∙

∙ 01/02/2018

Did you hear that? Adversarial Examples Against Automatic Speech Recognition

Speech is a common and effective way of communication between humans, an...

0 Moustafa Alzantot, et al. ∙

∙ 11/10/2017

D-SLATS: Distributed Simultaneous Localization and Time Synchronization

Through the last decade, we have witnessed a surge of Internet of Things...

0 Amr Alanwar, et al. ∙

∙ 11/01/2017

TERSE-KF: Event-Trigger Diffusion Kalman Filter with Application to Localization and Time Synchronization

The performance of a distributed network state estimation problem depend...

0 Amr Alanwar, et al. ∙

∙ 07/15/2017

Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration

State-of-the-art convolutional neural networks are enormously costly in ...

0 Jeng-Hau Lin, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world