RUOSPO, ANNACHIARA
 Distribuzione geografica
Continente #
AS - Asia 4.601
EU - Europa 4.157
NA - Nord America 3.529
SA - Sud America 427
AF - Africa 59
OC - Oceania 6
Continente sconosciuto - Info sul continente non disponibili 2
AN - Antartide 1
Totale 12.782
Nazione #
US - Stati Uniti d'America 3.273
IT - Italia 1.847
SG - Singapore 1.414
VN - Vietnam 1.066
CN - Cina 860
RU - Federazione Russa 657
GB - Regno Unito 475
HK - Hong Kong 348
BR - Brasile 339
DE - Germania 304
FR - Francia 232
KR - Corea 219
MX - Messico 191
IN - India 113
BE - Belgio 105
IE - Irlanda 104
IL - Israele 94
FI - Finlandia 79
JP - Giappone 73
TR - Turchia 72
BD - Bangladesh 71
NL - Olanda 64
AT - Austria 50
CA - Canada 50
ID - Indonesia 44
SE - Svezia 39
IR - Iran 33
EE - Estonia 30
PH - Filippine 29
TH - Thailandia 29
TW - Taiwan 29
AR - Argentina 26
CH - Svizzera 26
ES - Italia 25
IQ - Iraq 25
ZA - Sudafrica 20
JO - Giordania 18
CY - Cipro 17
UA - Ucraina 15
BG - Bulgaria 14
LT - Lituania 14
AL - Albania 13
CO - Colombia 13
GR - Grecia 13
PL - Polonia 13
CL - Cile 10
EG - Egitto 10
PK - Pakistan 10
UY - Uruguay 10
EC - Ecuador 9
PE - Perù 8
RO - Romania 7
UZ - Uzbekistan 7
CZ - Repubblica Ceca 6
MA - Marocco 6
PY - Paraguay 6
TN - Tunisia 6
AU - Australia 5
PT - Portogallo 5
VE - Venezuela 5
NO - Norvegia 4
AE - Emirati Arabi Uniti 3
CI - Costa d'Avorio 3
ET - Etiopia 3
JM - Giamaica 3
KE - Kenya 3
KG - Kirghizistan 3
PA - Panama 3
RS - Serbia 3
SK - Slovacchia (Repubblica Slovacca) 3
SY - Repubblica araba siriana 3
TJ - Tagikistan 3
AZ - Azerbaigian 2
BH - Bahrain 2
CR - Costa Rica 2
DO - Repubblica Dominicana 2
DZ - Algeria 2
EU - Europa 2
IS - Islanda 2
LV - Lettonia 2
MU - Mauritius 2
OM - Oman 2
PS - Palestinian Territory 2
QA - Qatar 2
SA - Arabia Saudita 2
SI - Slovenia 2
TT - Trinidad e Tobago 2
AM - Armenia 1
AO - Angola 1
AQ - Antartide 1
BA - Bosnia-Erzegovina 1
BF - Burkina Faso 1
BO - Bolivia 1
DK - Danimarca 1
GP - Guadalupe 1
HR - Croazia 1
HU - Ungheria 1
KH - Cambogia 1
LB - Libano 1
LC - Santa Lucia 1
Totale 12.775
Città #
Singapore 884
Turin 777
Ashburn 500
San Jose 411
Southend 389
Ho Chi Minh City 281
Hong Kong 275
Hanoi 239
Chandler 193
Hefei 185
Council Bluffs 181
Los Angeles 176
Santa Clara 176
Seoul 159
Milan 116
Mexico City 109
Beijing 105
Boardman 103
Brussels 103
Dublin 101
Dallas 99
Houston 99
Princeton 82
Moscow 76
Torino 69
Frankfurt am Main 62
Tongling 56
Istanbul 55
Lauterbourg 55
New York 54
Da Nang 53
Rome 53
Berlin 52
Ann Arbor 49
Tokyo 49
Buffalo 47
Jerusalem 47
Munich 47
Tel Aviv 43
Haiphong 40
São Paulo 36
Vienna 36
Lappeenranta 33
Nuremberg 31
Benito Juarez 30
Jakarta 30
Amsterdam 29
Tallinn 29
Redmond 28
Guangzhou 25
Helsinki 24
Shanghai 24
Naples 23
Wilmington 23
Fremont 22
Turku 22
Collegno 21
Rennes 19
Varese 18
Frankfurt (Oder) 17
London 17
Montreal 17
Redondo Beach 16
Toronto 16
Madrid 15
Bangkok 14
Bern 14
Bricherasio 14
Denver 14
Paris 14
Sofia 14
Brooklyn 13
Guiyang 13
Savigliano 13
Thái Nguyên 13
Limassol 12
Bari 11
Orem 11
Tirana 11
Biên Hòa 10
Rio de Janeiro 10
Rivalta di Torino 10
St Petersburg 10
Tân Tiến 10
Washington 10
Baghdad 9
Bremen 9
Columbus 9
Dresden 9
Florence 9
San Francisco 9
Warsaw 9
Zurich 9
Điện Bàn 9
Amman 8
Athens 8
Belfast 8
Bollate 8
Boston 8
Cape Town 8
Totale 7.621
Nome #
Image Test Libraries for the on-line self-test of functional units in GPUs running CNNs 410
Test, Reliability and Functional Safety trends for Automotive System-on-Chip 400
An Effective Iterative Statistical Fault Injection Methodology for Deep Neural Networks 382
Power Side-Channel Vulnerabilities of a RISC-V Cryptography Accelerator Integrated into CVA6 via Core-V eXtension Interface (CV-X-IF) 346
Benchmark Suite for Resilience Assessment of Deep Learning Models 343
Assessing Convolutional Neural Networks Reliability through Statistical Fault Injections 303
Test, Reliability and Functional Safety Trends for Automotive System-on-Chip 303
A Decentralized Scheduler for On-line Self-test Routines in Multi-core Automotive System-on-Chips 300
Machine Learning for Hardware Security: Classifier-based Identification of Trojans in Pipelined Microprocessors 297
A Benchmark Suite of RT-level Hardware Trojansfor Pipelined Microprocessor Cores 268
AI Eye Charts: measuring the visual acuity of Neural Networks with test images 264
Resiliency approaches in Convolutional, Photonic, and Spiking Neural Networks 258
Approximate Fault-Tolerant Neural Network Systems 255
Investigating on Gradient Regularization for Testing Neural Networks 251
Evaluating Convolutional Neural Networks Reliability depending on their Data Representation 239
Analysis of Fault Simulations Result during development of a Software Test Library 238
Special Session: AutoSoC - A Suite of Open-Source Automotive SoC Benchmarks 237
On the resilience of INT8 Quantized Neural Networks on Low-Power RISC-V Devices 227
Deterministic Cache-based Execution of On-line Self-Test Routines in Multi-core Automotive System-on-Chips 226
Design, Verification, Test, and In-Field Implications of Approximate Digital Integrated Circuits 226
Reliability and Security Assessment of Modern Embedded Devices 225
SCI-FI: a Smart, aCcurate and unIntrusive Fault-Injector for Deep Neural Networks 220
On-line Testing for Autonomous Systems driven by RISC-V Processor Design Verification 220
Emulating the Effects of Radiation-Induced Soft-Errors for the Reliability Assessment of Neural Networks 220
Increasing the Robustness of Software Test Libraries in Multi-core System-on-Chips 211
SpikingJET: Enhancing Fault Injection for Fully and Convolutional Spiking Neural Networks 210
Non-Intrusive Self-Test Library for Automotive Critical Applications: Constraints and Solutions 210
Early Detection of Permanent Faults in DNNs Through the Application of Tensor-Related Metrics 206
DOC: Detection of On-Line Failures in CNNs 204
Evaluation and mitigation of faults affecting Swin Transformers 203
A Survey on Deep Learning Resilience Assessment Methodologies 194
A reliability analysis of a deep neural network 193
DEAR-CNN: Data-Efficient Assessment of Resiliency in Convolutional Neural Networks 192
A Suitability analysis of software based testing strategies for the on-line testing of artificial neural networks applications in embedded devices 192
A Model-Based Framework to Assess the Reliability of Safety-Critical Applications 192
Late Contribution: VeriSide: A Modified Verilator for Leakage Assessment at the RTL Level 190
A Fast Reliability Analysis of Image Segmentation Neural Networks Exploiting Statistical Fault Injections 188
Image Test Libraries for the in-field test of ultra-low-power devices 188
On the Reliability Assessment of Artificial Neural Networks Running on AI-Oriented MPSoCs 188
Uncovering hidden vulnerabilities in CNNs through evolutionary-based Image Test Libraries 186
A Pipelined Multi-Level Fault Injector for Deep Neural Networks 186
On the resilience of representative and novel data formats in CNNs 186
An Open-Source Verification Framework for Open-Source Cores: A RISC-V Case Study 185
Selective Hardening of Critical Neurons in Deep Neural Networks 183
Model theft attack against a tinyML application running on an Ultra-Low-Power Open-Source SoC 181
Bi-LORD: Bit-Wise Low-Cost Real Numbers Dependability Assessment in AI Applications 179
AI-based Classification of Intentional vs. Unintentional Corruptions in the Split Computing context 178
APSS Metrics for Fault Detection: Area, Position, Symmetry, and Shape in Image Segmentation 173
Special Session: Trustworthy Hardware-AI at the Cloud 168
Open-Set Recognition: an Inexpensive Strategy to Increase DNN Reliability 163
Investigating data representation for efficient and reliable Convolutional Neural Networks 162
Simulation and Formal: The Best of Both Domains for Instruction Set Verification of RISC-V Based Processors 155
Reliability of Deep Neural Networks: Impact and Open Issues 154
On the detection of always-on hardware trojans supported by a pre-silicon verification methodology 152
Special Session: Approximation and Fault Resiliency of DNN Accelerators 147
A Fault Injection Framework for AI Hardware Accelerators 144
Pros and Cons of Fault Injection Approaches for the Reliability Assessment of Deep Neural Networks 138
Reliable and Efficient hardware for Trustworthy Deep Neural Networks 134
Resilience-Performance Tradeoff Analysis of a Deep Neural Network Accelerator 127
Reliability Assessment Methodologies for ANN-based Systems 105
Deep Learning-Based Power Side-Channel Evaluation from RTL Switching-Activity Proxies 17
Off-Chip Super-Resolution AI Model to Support Embedded Memory Diagnosis 7
Power Side-Channel Analysis of the CVA6 RISC-V Core at the RTL Level Using VeriSide 7
Totale 13.036
Categoria #
all - tutte 32.567
article - articoli 4.843
book - libri 0
conference - conferenze 25.413
curatela - curatele 0
other - altro 1.055
patent - brevetti 0
selected - selezionate 0
volume - volumi 719
Totale 64.597


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/202123 0 0 0 0 0 0 0 0 0 0 0 23
2021/2022708 93 29 51 43 57 63 21 72 51 29 74 125
2022/20231.163 60 121 92 99 100 112 87 69 100 53 153 117
2023/2024960 70 92 81 129 116 114 55 47 36 103 61 56
2024/20252.776 35 290 153 400 140 145 142 209 242 149 305 566
2025/20266.755 394 339 549 632 454 334 855 592 1.436 802 322 46
Totale 13.036