ACM Journal on Emerging Technologies in Computing Systems

Papers
(The median citation count of ACM Journal on Emerging Technologies in Computing Systems is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-01-01 to 2026-01-01.)
ArticleCitations
Breaking On-Chip Communication Anonymity Using Flow Correlation Attacks48
Impedance Leakage Vulnerability and Its Utilization in Reverse-Engineering Embedded Software45
A Persistent Hierarchical Bloom Filter-based Framework for Scalable Authentication and Tracking of ICs38
Defending against Adversarial Attacks in Deep Learning with Robust Auxiliary Classifiers Utilizing Bit-plane Slicing26
A Golden-Free Unsupervised ML-Assisted Security Approach for Detection of IC Hardware Trojans26
Sorting in Memristive Memory25
Low-Rank Gradient Descent for Memory-Efficient Training of Deep In-Memory Arrays25
A Cost-Effective Built-In Self-Test Mechanism for Post-Manufacturing TSV Defects in 3D ICs24
STIFT: A Spatio-Temporal Integrated Folding Tree for Efficient Reductions in Flexible DNN Accelerators21
Energy-Efficient Probabilistic Bayesian Neural Networks for Resource-Constrained Environments19
ChaoticImmuneNet: A Chaos-driven Immunity Inspired Neural Network Paradigm for Embodied Intelligence in Resource-Constrained Devices19
All-spin PUF: An Area-efficient and Reliable PUF Design with Signature Improvement for Spin-transfer Torque Magnetic Cell-based All-spin Circuits18
Technology/System Co-Optimization for FPGA Using Emerging Reconfigurable Logic Device17
The Bitlet Model: A Parameterized Analytical Model to Compare PIM and CPU Systems17
NORM: An FPGA-based Non-volatile Memory Emulation Framework for Intermittent Computing16
SkyBridge 2.0: A Fine-grained Vertical 3D-IC Technology for Future ICs14
Unsupervised Digit Recognition Using Cosine Similarity In A Neuromemristive Competitive Learning System14
Design of False Data Injection Attacks in a Cyber-Physical System Using Gaussian Distribution14
Secure and Lightweight Authentication Protocol Using PUF for the IoT-based Wireless Sensor Network14
DINOS: Data INspired Oligo Synthesis for DNA Data Storage14
Hardware-accelerated Simulation-based Inference of Stochastic Epidemiology Models for COVID-1913
Diverse, Neural Trojan Resilient Ecosystem of Neural Network IP11
Accelerating On-Chip Training with Ferroelectric-Based Hybrid Precision Synapse11
Characterization of Timing-based Software Side-channel Attacks and Mitigations on Network-on-Chip Hardware11
A Neoteric Approach for Logic with Embedded Memory Leveraging Crosstalk Computing11
A Fast Object Detection-Based Framework for Via Modeling on PCB X-Ray CT Images11
Analyzing Security Vulnerabilities Induced by High-level Synthesis10
SAT-Based Exact Modulo Scheduling Mapping for Resource-Constrained CGRAs10
Virtualizing Existing Fluidic Programs10
SRLL: Improving Security and Reliability with User-Defined Constraint-Aware Logic Locking9
A Quasi-digital QPSK Modulator Design for Biomedical Devices9
B-open Defect: A Novel Defect Model in FinFET Technology9
NN-Lock : A Lightweight Authorization to Prevent IP Threats of Deep Learning Models9
HDRLPIM: A Simulator for Hyper-Dimensional Reinforcement Learning Based on Processing In-Memory9
PUF-based Digital Money with Propagation-of-Provenance and Offline Transfers between Two Parties8
Towards Certified Safe Personalization in Learning-Enabled Human-in-the-loop Human-in-the-plant Systems8
Applications and Challenges of AI in PCB X-ray Inspection: A Comprehensive Study8
Digital Fault-based Built-in Self-test and Evaluation of Low Dropout Voltage Regulators7
A Novel Highly-Efficient Inexact Full Adder Cell for Motion and Edge Detection Systems of Image Processing in CNFET Technology6
Reliable Constructions for the Key Generator of Code-based Post-quantum Cryptosystems on FPGA6
Spiking-NeRF: Spiking Neural Network for Energy-Efficient Neural Rendering6
Demonstration of a Scalable DNA Computing Platform: Writing and Selection6
Fusing In-storage and Near-storage Acceleration of Convolutional Neural Networks6
Towards a Truly Integrated Vector Processing Unit for Memory-bound Applications Based on a Cost-competitive Computational SRAM Design Solution6
Hardware Trojan Detection Using Unsupervised Deep Learning on Quantum Diamond Microscope Magnetic Field Images6
Extreme Partial-Sum Quantization for Analog Computing-In-Memory Neural Network Accelerators6
F-Bypass: A Low-Power Network-on-Chip Design Utilizing Bypass to Improve Network Connectivity6
Building an Open Representation for Biological Protocols6
Photonic Networks-on-Chip Employing Multilevel Signaling: A Cross-Layer Comparative Study5
AccHashtag : Accelerated Hashing for Detecting Fault-Injection Attacks on Embedded Neural Networks5
AroMa : Evaluating Deep Learning Systems for Stealthy Integrity Attacks on Multi-tenant Accelerators5
Generation of Black-box Audio Adversarial Examples Based on Gradient Approximation and Autoencoders5
Optimizing 3D U-Net-based Brain Tumor Segmentation with Integer-arithmetic Deep Learning Accelerators4
Repercussions of Using DNN Compilers on Edge GPUs for Real Time and Safety Critical Systems: A Quantitative Audit4
Toward the Generation of Test Vectors for the Detection of Hardware Trojan Targeting Effective Switching Activity4
On Securing Cryptographic ICs against Scan-based Attacks: A Hamming Weight Distribution Perspective4
Hardware Trojan Detection Potential and Limits with the Quantum Diamond Microscope4
Genetic Cache: A Machine Learning Approach to Designing DRAM Cache Controllers in HBM Systems4
Direction-aggregated Attack for Transferable Adversarial Examples4
A Genetic-algorithm-based Approach to the Design of DCT Hardware Accelerators4
Introduction to the Special Issue on CAD for Security: Pre-silicon Security Sign-off Solutions Through Design Cycle3
Toward Practical Superconducting Accelerators for Machine Learning Using U-SFQ3
Enhancing Blockchain Scalability using Off-Chain and Machine Learning Techniques3
Zallocator: A High Throughput Write-Optimized Persistent Allocator for Non-Volatile Memory3
A Deep Neural Network Accelerator using Residue Arithmetic in a Hybrid Optoelectronic System3
SHIFT: Selective Hardware Information Flow Tracking Driven by Deterministic Constraints3
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