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08/10/2023
A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks
Machine learning (ML) is widely used today, especially through deep neur...
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08/06/2023
SAAM: Stealthy Adversarial Attack on Monoculor Depth Estimation
In this paper, we investigate the vulnerability of MDE to adversarial pa...
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07/20/2023
Approximate Computing Survey, Part II: Application-Specific Architectural Approximation Techniques and Applications
The challenging deployment of compute-intensive applications from domain...
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07/20/2023
Approximate Computing Survey, Part I: Terminology and Software Hardware Approximation Techniques
The rapid growth of demanding applications in domains applying multimedi...
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06/29/2023
Scaling Model Checking for DNN Analysis via State-Space Reduction and Input Segmentation (Extended Version)
Owing to their remarkable learning capabilities and performance in real-...
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06/15/2023
X-Rel: Energy-Efficient and Low-Overhead Approximate Reliability Framework for Error-Tolerant Applications Deployed in Critical Systems
Triple Modular Redundancy (TMR) is one of the most common techniques in ...
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06/15/2023
An Energy-Efficient Generic Accuracy Configurable Multiplier Based on Block-Level Voltage Overscaling
Voltage Overscaling (VOS) is one of the well-known techniques to increas...
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05/21/2023
Reduce: A Framework for Reducing the Overheads of Fault-Aware Retraining
Fault-aware retraining has emerged as a prominent technique for mitigati...
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05/21/2023
FAQ: Mitigating the Impact of Faults in the Weight Memory of DNN Accelerators through Fault-Aware Quantization
Permanent faults induced due to imperfections in the manufacturing proce...
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05/19/2023
DAP: A Dynamic Adversarial Patch for Evading Person Detectors
In this paper, we present a novel approach for generating naturalistic a...
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04/20/2023
eFAT: Improving the Effectiveness of Fault-Aware Training for Mitigating Permanent Faults in DNN Hardware Accelerators
Fault-Aware Training (FAT) has emerged as a highly effective technique f...
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04/08/2023
RescueSNN: Enabling Reliable Executions on Spiking Neural Network Accelerators under Permanent Faults
To maximize the performance and energy efficiency of Spiking Neural Netw...
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04/08/2023
EnforceSNN: Enabling Resilient and Energy-Efficient Spiking Neural Network Inference considering Approximate DRAMs for Embedded Systems
Spiking Neural Networks (SNNs) have shown capabilities of achieving high...
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04/08/2023
SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers
Transformers' compute-intensive operations pose enormous challenges for ...
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04/08/2023
RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks
Capsule Networks (CapsNets) are able to hierarchically preserve the pose...
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04/05/2023
FPGA-Patch: Mitigating Remote Side-Channel Attacks on FPGAs using Dynamic Patch Generation
We propose FPGA-Patch, the first-of-its-kind defense that leverages auto...
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03/29/2023
Poster: Link between Bias, Node Sensitivity and Long-Tail Distribution in trained DNNs
Owing to their remarkable learning (and relearning) capabilities, deep n...
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03/24/2023
PoisonedGNN: Backdoor Attack on Graph Neural Networks-based Hardware Security Systems
Graph neural networks (GNNs) have shown great success in detecting intel...
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03/24/2023
Physical Backdoor Trigger Activation of Autonomous Vehicle using Reachability Analysis
Recent studies reveal that Autonomous Vehicles (AVs) can be manipulated ...
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03/14/2023
ISimDL: Importance Sampling-Driven Acceleration of Fault Injection Simulations for Evaluating the Robustness of Deep Learning
Deep Learning (DL) systems have proliferated in many applications, requi...
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03/14/2023
AutoEnsemble: Automated Ensemble Search Framework for Semantic Segmentation Using Image Labels
A key bottleneck of employing state-of-the-art semantic segmentation net...
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03/14/2023
Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging Systems
Reliable classification and detection of certain medical conditions, in ...
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03/14/2023
Image Label based Semantic Segmentation Framework using Object Perimeters
Achieving high-quality semantic segmentation predictions using only imag...
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03/14/2023
BoundaryCAM: A Boundary-based Refinement Framework for Weakly Supervised Semantic Segmentation of Medical Images
Weakly Supervised Semantic Segmentation (WSSS) with only image-level sup...
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03/14/2023
FPUS23: An Ultrasound Fetus Phantom Dataset with Deep Neural Network Evaluations for Fetus Orientations, Fetal Planes, and Anatomical Features
Ultrasound imaging is one of the most prominent technologies to evaluate...
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03/12/2023
DNN-Alias: Deep Neural Network Protection Against Side-Channel Attacks via Layer Balancing
Extracting the architecture of layers of a given deep neural network (DN...
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03/11/2023
SHIELD: An Adaptive and Lightweight Defense against the Remote Power Side-Channel Attacks on Multi-tenant FPGAs
Dynamic partial reconfiguration enables multi-tenancy in cloud-based FPG...
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03/08/2023
autoXFPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems
Generation and exploration of approximate circuits and accelerators has ...
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03/07/2023
CAE-CNNLoc: An Edge-based WiFi Fingerprinting Indoor Localization Using Convolutional Neural Network and Convolutional Auto-Encoder
With the ongoing development of Indoor Location-Based Services, accurate...
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03/04/2023
scaleTRIM: Scalable TRuncation-Based Integer Approximate Multiplier with Linearization and Compensation
Approximate computing (AC) has become a prominent solution to improve th...
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03/03/2023
TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile Agents
Autonomous mobile agents require low-power/energy-efficient machine lear...
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03/03/2023
Exploring Machine Learning Privacy/Utility trade-off from a hyperparameters Lens
Machine Learning (ML) architectures have been applied to several applica...
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03/03/2023
AdvART: Adversarial Art for Camouflaged Object Detection Attacks
A majority of existing physical attacks in the real world result in cons...
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03/02/2023
APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation
In recent years, monocular depth estimation (MDE) has witnessed a substa...
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03/02/2023
AdvRain: Adversarial Raindrops to Attack Camera-based Smart Vision Systems
Vision-based perception modules are increasingly deployed in many applic...
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02/24/2023
UnbiasedNets: A Dataset Diversification Framework for Robustness Bias Alleviation in Neural Networks
Performance of trained neural network (NN) models, in terms of testing a...
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12/24/2022
Mantis: Enabling Energy-Efficient Autonomous Mobile Agents with Spiking Neural Networks
Autonomous mobile agents such as unmanned aerial vehicles (UAVs) and mob...
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12/20/2022
ATLAS: An IoT Architecture and Secure Open-source Networking Stack for Anonymous Localization and Tracking Using Smartphones and Bluetooth Beacons
Bluetooth (BT) has revolutionized close-range communication enabling sma...
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11/29/2022
Building Resilience to Out-of-Distribution Visual Data via Input Optimization and Model Finetuning
A major challenge in machine learning is resilience to out-of-distributi...
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11/09/2022
Efficient Neural Mapping for Localisation of Unmanned Ground Vehicles
Global localisation from visual data is a challenging problem applicable...
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10/13/2022
AccelAT: A Framework for Accelerating the Adversarial Training of Deep Neural Networks through Accuracy Gradient
Adversarial training is exploited to develop a robust Deep Neural Networ...
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10/11/2022
RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks
Neural Architecture Search (NAS) algorithms aim at finding efficient Dee...
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08/17/2022
Embracing Graph Neural Networks for Hardware Security (Invited Paper)
Graph neural networks (GNNs) have attracted increasing attention due to ...
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08/03/2022
LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor
Autonomous Driving (AD) related features represent important elements fo...
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07/31/2022
CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks
In today's era of smart cyber-physical systems, Deep Neural Networks (DN...
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07/31/2022
enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks
Research on Deep Neural Networks (DNNs) has focused on improving perform...
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06/21/2022
Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations
Complex Deep Neural Networks such as Capsule Networks (CapsNets) exhibit...
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06/17/2022
tinySNN: Towards Memory- and Energy-Efficient Spiking Neural Networks
Larger Spiking Neural Network (SNN) models are typically favorable as th...
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06/17/2022
On Efficient Real-Time Semantic Segmentation: A Survey
Semantic segmentation is the problem of assigning a class label to every...
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06/01/2022