Farinaz Koushanfar

research

∙ 09/13/2023

ZKROWNN: Zero Knowledge Right of Ownership for Neural Networks

Training contemporary AI models requires investment in procuring learnin...

0 Nojan Sheybani, et al. ∙

research

∙ 08/04/2023

SABRE: Robust Bayesian Peer-to-Peer Federated Learning

We introduce SABRE, a novel framework for robust variational Bayesian pe...

0 Nasimeh Heydaribeni, et al. ∙

research

∙ 08/01/2023

Secure and Trustworthy Computing 2.0 Vision Statement

The Secure and Trustworthy Computing (SaTC) program within the National ...

0 Patrick McDaniel, et al. ∙

research

∙ 07/17/2023

G-Scan: Graph Neural Networks for Line-Level Vulnerability Identification in Smart Contracts

Due to the immutable and decentralized nature of Ethereum (ETH) platform...

0 Christoph Sendner, et al. ∙

research

∙ 04/04/2023

NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video Compression

Video compression plays a significant role in IoT devices for the effici...

0 Jung-Woo Chang, et al. ∙

research

∙ 01/18/2023

Tailor: Altering Skip Connections for Resource-Efficient Inference

Deep neural networks use skip connections to improve training convergenc...

0 Olivia Weng, et al. ∙

research

∙ 09/26/2022

FastStamp: Accelerating Neural Steganography and Digital Watermarking of Images on FPGAs

Steganography and digital watermarking are the tasks of hiding recoverab...

7 Shehzeen Hussain, et al. ∙

research

∙ 09/21/2022

Text Revealer: Private Text Reconstruction via Model Inversion Attacks against Transformers

Text classification has become widely used in various natural language p...

0 Ruisi Zhang, et al. ∙

research

∙ 08/08/2022

PerD: Perturbation Sensitivity-based Neural Trojan Detection Framework on NLP Applications

Deep Neural Networks (DNNs) have been shown to be susceptible to Trojan ...

0 Diego Garcia-soto, et al. ∙

research

∙ 08/03/2022

Abusing Commodity DRAMs in IoT Devices to Remotely Spy on Temperature

The ubiquity and pervasiveness of modern Internet of Things (IoT) device...

0 Florian Frank, et al. ∙

research

∙ 06/24/2022

zPROBE: Zero Peek Robustness Checks for Federated Learning

Privacy-preserving federated learning allows multiple users to jointly t...

6 Zahra Ghodsi, et al. ∙

research

∙ 06/09/2022

ReFace: Real-time Adversarial Attacks on Face Recognition Systems

Deep neural network based face recognition models have been shown to be ...

7 Shehzeen Hussain, et al. ∙

research

∙ 04/20/2022

Adversarial Scratches: Deployable Attacks to CNN Classifiers

A growing body of work has shown that deep neural networks are susceptib...

7 Loris Giulivi, et al. ∙

research

∙ 04/12/2022

AdaTest:Reinforcement Learning and Adaptive Sampling for On-chip Hardware Trojan Detection

This paper proposes AdaTest, a novel adaptive test pattern generation fr...

0 Huili Chen, et al. ∙

research

∙ 04/08/2022

An Adaptive Black-box Backdoor Detection Method for Deep Neural Networks

With the surge of Machine Learning (ML), An emerging amount of intellige...

21 Xinqiao Zhang, et al. ∙

research

∙ 04/05/2022

FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes

Deepfakes and manipulated media are becoming a prominent threat due to t...

3 Paarth Neekhara, et al. ∙

research

∙ 03/18/2022

Adversarial Attacks on Deep Learning-based Video Compression and Classification Systems

Video compression plays a crucial role in enabling video streaming and c...

0 Jung-Woo Chang, et al. ∙

research

∙ 02/21/2022

Backdoor Defense in Federated Learning Using Differential Testing and Outlier Detection

The goal of federated learning (FL) is to train one global model by aggr...

0 Yein Kim, et al. ∙

research

∙ 11/07/2021

Machine Learning-Assisted E-jet Printing of Organic Flexible Biosensors

Electrohydrodynamic-jet (e-jet) printing technique enables the high-reso...

15 Mehran Abbasi Shirsavar, et al. ∙

research

∙ 11/02/2021

HASHTAG: Hash Signatures for Online Detection of Fault-Injection Attacks on Deep Neural Networks

We propose HASHTAG, the first framework that enables high-accuracy detec...

0 Mojan Javaheripi, et al. ∙

research

∙ 09/07/2021

Trojan Signatures in DNN Weights

Deep neural networks have been shown to be vulnerable to backdoor, or tr...

0 Greg Fields, et al. ∙

research

∙ 04/23/2021

Unsupervised Information Obfuscation for Split Inference of Neural Networks

Splitting network computations between the edge device and a server enab...

0 Mohammad Samragh, et al. ∙

research

∙ 03/23/2021

ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning

Ethereum smart contracts are automated decentralized applications on the...

0 Oliver Lutz, et al. ∙

research

∙ 03/04/2021

WaveGuard: Understanding and Mitigating Audio Adversarial Examples

There has been a recent surge in adversarial attacks on deep learning ba...

1 Shehzeen Hussain, et al. ∙

research

∙ 02/15/2021

Cross-modal Adversarial Reprogramming

With the abundance of large-scale deep learning models, it has become po...

2 Paarth Neekhara, et al. ∙

research

∙ 02/03/2021

TAD: Trigger Approximation based Black-box Trojan Detection for AI

An emerging amount of intelligent applications have been developed with ...

0 Xinqiao Zhang, et al. ∙

research

∙ 01/30/2021

Expressive Neural Voice Cloning

Voice cloning is the task of learning to synthesize the voice of an unse...

2 Paarth Neekhara, et al. ∙

research

∙ 12/07/2020

A Singular Value Perspective on Model Robustness

Convolutional Neural Networks (CNNs) have made significant progress on s...

5 Malhar Jere, et al. ∙

research

∙ 09/04/2020

CLEANN: Accelerated Trojan Shield for Embedded Neural Networks

We propose CLEANN, the first end-to-end framework that enables online mi...

20 Mojan Javaheripi, et al. ∙

research

∙ 08/10/2020

Trustworthy AI Inference Systems: An Industry Research View

In this work, we provide an industry research view for approaching the d...

37 Rosario Cammarota, et al. ∙

research

∙ 04/08/2020

GeneCAI: Genetic Evolution for Acquiring Compact AI

In the contemporary big data realm, Deep Neural Networks (DNNs) are evol...

0 Mojan Javaheripi, et al. ∙

research

∙ 02/16/2020

SynFi: Automatic Synthetic Fingerprint Generation

Authentication and identification methods based on human fingerprints ar...

0 M. Sadegh Riazi, et al. ∙

research

∙ 02/09/2020

FastWave: Accelerating Autoregressive Convolutional Neural Networks on FPGA

Autoregressive convolutional neural networks (CNNs) have been widely exp...

0 Shehzeen Hussain, et al. ∙

research

∙ 12/10/2019

Advances and Open Problems in Federated Learning

Federated learning (FL) is a machine learning setting where many clients...

33 Peter Kairouz, et al. ∙

research

∙ 12/07/2019

Principal Component Properties of Adversarial Samples

Deep Neural Networks for image classification have been found to be vuln...

0 Malhar Jere, et al. ∙

research

∙ 12/05/2019

Scratch that! An Evolution-based Adversarial Attack against Neural Networks

Recent research has shown that Deep Neural Networks (DNNs) for image cla...

0 Malhar Jere, et al. ∙

research

∙ 11/15/2019

ASCAI: Adaptive Sampling for acquiring Compact AI

This paper introduces ASCAI, a novel adaptive sampling methodology that ...

0 Mojan Javaheripi, et al. ∙

research

∙ 06/28/2019

A Neural-based Program Decompiler

Reverse engineering of binary executables is a critical problem in the c...

0 Cheng Fu, et al. ∙

research

∙ 05/24/2019

Decentralized Bayesian Learning over Graphs

We propose a decentralized learning algorithm over a general social netw...

0 Anusha Lalitha, et al. ∙

research

∙ 05/09/2019

Universal Adversarial Perturbations for Speech Recognition Systems

In this work, we demonstrate the existence of universal adversarial audi...

0 Paarth Neekhara, et al. ∙

research

∙ 04/09/2019

SWNet: Small-World Neural Networks and Rapid Convergence

Training large and highly accurate deep learning (DL) models is computat...

0 Mojan Javaheripi, et al. ∙

research

∙ 03/31/2019

BlackMarks: Blackbox Multibit Watermarking for Deep Neural Networks

Deep Neural Networks have created a paradigm shift in our ability to com...

0 Huili Chen, et al. ∙

research

∙ 02/19/2019

XONN: XNOR-based Oblivious Deep Neural Network Inference

Advancements in deep learning enable cloud servers to provide inference-...

0 M. Sadegh Riazi, et al. ∙

research

∙ 02/08/2019

ARM2GC: Succinct Garbled Processor for Secure Computation

We present ARM2GC, a novel secure computation framework based on Yao's G...

0 Ebrahim M. Songhori, et al. ∙

research

∙ 01/31/2019

Peer-to-peer Federated Learning on Graphs

We consider the problem of training a machine learning model over a netw...

0 Anusha Lalitha, et al. ∙

research

∙ 01/17/2019

CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of DNNs

This paper proposes CodeX, an end-to-end framework that facilitates enco...

12 Mohammad Samragh, et al. ∙

research

∙ 11/08/2018

Performance Comparison of Contemporary DNN Watermarking Techniques

DNNs shall be considered as the intellectual property (IP) of the model ...

0 Huili Chen, et al. ∙

research

∙ 09/06/2018

Adversarial Reprogramming of Sequence Classification Neural Networks

Adversarial Reprogramming has demonstrated success in utilizing pre-trai...

1 Paarth Neekhara, et al. ∙

research

∙ 06/15/2018

RAPIDNN: In-Memory Deep Neural Network Acceleration Framework

Deep neural networks (DNN) have demonstrated effectiveness for various a...

0 Mohsen Imani, et al. ∙

research

∙ 05/21/2018

AgileNet: Lightweight Dictionary-based Few-shot Learning

The success of deep learning models is heavily tied to the use of massiv...

0 Mohammad Ghasemzadeh, et al. ∙

Farinaz Koushanfar

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