UNICA IRIS Institutional Research Information System

PINTOR, MAURA
 Distribuzione geografica
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Continente #
EU - Europa 1.173
AS - Asia 719
NA - Nord America 640
AF - Africa 87
SA - Sud America 13
OC - Oceania 8
Totale 2.640
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Nazione #
US - Stati Uniti d'America 603
IT - Italia 501
CN - Cina 406
NL - Olanda 141
DE - Germania 91
GB - Regno Unito 67
BG - Bulgaria 64
FR - Francia 64
PL - Polonia 50
IN - India 43
CA - Canada 34
HK - Hong Kong 34
NG - Nigeria 34
SE - Svezia 29
SG - Singapore 29
BE - Belgio 26
JP - Giappone 26
RU - Federazione Russa 26
KR - Corea 25
VN - Vietnam 21
AT - Austria 20
TR - Turchia 20
IR - Iran 18
TH - Thailandia 16
LV - Lettonia 15
PK - Pakistan 14
TW - Taiwan 14
CH - Svizzera 13
CI - Costa d'Avorio 13
ES - Italia 13
UA - Ucraina 13
CZ - Repubblica Ceca 12
EG - Egitto 10
ZA - Sudafrica 9
AE - Emirati Arabi Uniti 8
AU - Australia 8
FI - Finlandia 8
IL - Israele 8
IE - Irlanda 6
BD - Bangladesh 5
GR - Grecia 5
KE - Kenya 5
MY - Malesia 4
UG - Uganda 4
AZ - Azerbaigian 3
BR - Brasile 3
EC - Ecuador 3
ID - Indonesia 3
MA - Marocco 3
MM - Myanmar 3
PE - Perù 3
RO - Romania 3
SA - Arabia Saudita 3
TN - Tunisia 3
YE - Yemen 3
CL - Cile 2
CY - Cipro 2
JO - Giordania 2
KW - Kuwait 2
MX - Messico 2
NO - Norvegia 2
PH - Filippine 2
TG - Togo 2
AM - Armenia 1
BF - Burkina Faso 1
CO - Colombia 1
DZ - Algeria 1
GH - Ghana 1
HN - Honduras 1
HR - Croazia 1
LT - Lituania 1
LU - Lussemburgo 1
MN - Mongolia 1
PT - Portogallo 1
QA - Qatar 1
SN - Senegal 1
SY - Repubblica araba siriana 1
UZ - Uzbekistan 1
VE - Venezuela 1
Totale 2.640
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Città #
Shenyang 144
Cagliari 134
Shanghai 117
Amsterdam 98
Ashburn 78
Rome 38
Warsaw 37
Sassari 31
Secaucus 29
Genoa 24
Stockholm 24
Brussels 23
Miami 22
San Jose 21
Frankfurt am Main 20
Guangzhou 20
Lagos 20
Los Angeles 20
Düsseldorf 18
London 18
Milan 18
Singapore 18
Boardman 17
Xi'an 17
Novara 16
Seattle 16
Dallas 15
Riga 15
Sestu 15
Bari 14
Chicoutimi 14
Buffalo 13
Edison 13
Moscow 13
Selargius 13
Chicago 12
Tokyo 12
Bangkok 11
Central 11
Council Bluffs 11
Beijing 10
Istanbul 10
Kansas City 10
New Delhi 10
Phoenix 10
Eygelshoven 9
Málaga 9
Paris 9
Columbus 8
Florence 8
Jinan 8
Reston 8
Delhi 7
Wilkes-Barre 7
Abidjan 6
Ankara 6
Dublin 6
Fort Collins 6
Helsinki 6
New York 6
Quartucciu 6
Valmontone 6
Vienna 6
Zug 6
Abu Dhabi 5
Atlanta 5
Bielefeld 5
Chiang Mai 5
Ho Chi Minh City 5
Houston 5
Johannesburg 5
Lahore 5
Linz 5
Maurik 5
Nairobi 5
Nanjing 5
Osaka 5
Plano 5
Pozzo della Chiana 5
Sutton Coldfield 5
Tehran 5
Venice 5
Athens 4
Brooklyn 4
Cairo 4
Campobasso 4
Chuncheon 4
Dhaka 4
Gerbrunn 4
Hong Kong 4
Hyderabad 4
Iglesias 4
Islamabad 4
Kampala 4
Lublin 4
Naples 4
Neuss 4
North Bergen 4
Shenzhen 4
Siena 4
Totale 1.565
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Nome #
The Threat of Offensive AI to Organizations, file 66dafa97-53b2-4f90-9933-ff2d3c505518 1.547
Towards Debugging and Improving Adversarial Robustness Evaluations ​, file e2f56eda-2e51-3eaf-e053-3a05fe0a5d97 375
Rethinking data augmentation for adversarial robustness, file ea76aa2d-7741-45fd-9943-c3f04a6ee03d 138
secml: Secure and explainable machine learning in Python, file e3153eb1-90c1-492d-89fe-6ebbe4b6486a 99
AI Security and Safety: The PRALab Research Experience, file 5803621a-8f73-412b-8d24-5d0358da1001 91
Fast minimum-norm adversarial attacks through adaptive norm constraints, file d481026b-888a-47fd-8e46-9464c035abdc 85
Cybersecurity and AI: The PRALab Research Experience, file 83f0d3ee-aaaf-4a6b-b008-d9f998f8470c 75
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches, file ffb6f0dd-efd1-4a32-bc16-2d65e6a1478a 45
Robust Machine Learning for Malware Detection over Time, file 600c8c60-b6c2-490f-b705-354a4c10792d 28
Explaining Machine Learning DGA Detectors from DNS Traffic Data, file 834ddf18-0178-4931-bd98-cda804e53474 28
Rethinking data augmentation for adversarial robustness, file 817c52a2-ccd2-438a-948b-256b20c2e384 18
Why adversarial reprogramming works, when it fails, and how to tell the difference, file 5ba1ade8-97a4-40d3-be37-36a5fe285edb 17
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches, file 39de527d-f523-43e3-95e0-35a5c75bcbb8 11
Samples on Thin Ice: Re-evaluating Adversarial Pruning of Neural Networks, file 7b84e362-f988-4021-aa3f-d27b8535f929 11
Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization, file 0a7a790d-f775-4af7-ba6a-204bf44f4cc4 9
The Threat of Offensive AI to Organizations, file 1b63fe5d-00cd-48c5-b6e5-fdb1f54bf28c 7
Stateful detection of adversarial reprogramming, file 7d4eed32-521f-4c09-b04a-421a14522297 6
Optimization and deployment of CNNs at the Edge: The ALOHA experience, file e2f56ed8-e2eb-3eaf-e053-3a05fe0a5d97 6
Architecture-aware design and implementation of CNN algorithms for embedded inference: The ALOHA project, file e2f56ed9-0e04-3eaf-e053-3a05fe0a5d97 6
Detecting Attacks Against Deep Reinforcement Learning for Autonomous Driving, file ec87373d-d91a-4a83-ab2d-8eb77a5557e6 6
Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks, file e2f56ed9-2dda-3eaf-e053-3a05fe0a5d97 5
Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization, file 5cc9d8d6-4455-452c-bbf5-63973a164b60 4
ALOHA: An architectural-aware framework for deep learning at the edge, file e2f56ed8-16bd-3eaf-e053-3a05fe0a5d97 4
Slope: A First-order Approach for Measuring Gradient Obfuscation, file 0212b2e5-240b-4b8b-a2d0-ffcb5bd75fd5 3
Samples on Thin Ice: Re-evaluating Adversarial Pruning of Neural Networks, file 400565d2-ba42-4bcb-8491-95a51476628f 3
Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples, file a2f22bf2-349e-4d58-90c5-4889f5c860ab 3
Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks, file e2f56ed8-ac13-3eaf-e053-3a05fe0a5d97 3
Detecting Attacks Against Deep Reinforcement Learning for Autonomous Driving, file 21df7e05-b0de-425c-ab73-d91aea2c959f 2
Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training, file dd57991c-932b-4c49-b272-0340c735292c 2
Be Right Beach: A Social IoT System for Sustainable Tourism Based on Beach Overcrowding Avoidance, file e2f56ed9-6198-3eaf-e053-3a05fe0a5d97 2
Detecting Anomalies from Video-Sequences: a Novel Descriptor, file e2f56ed9-f03d-3eaf-e053-3a05fe0a5d97 2
Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training, file a55d7c05-530f-4d87-a809-4793f42dea21 1
Totale 2.642
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Categoria #
all - tutte 4.124
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 4.124
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/202010 1 0 0 0 0 1 6 0 0 2 0 0
2020/20212 0 0 0 0 0 0 2 0 0 0 0 0
2021/2022120 0 0 0 1 0 0 0 3 87 11 4 14
2022/2023468 15 14 14 29 29 91 35 73 54 31 39 44
2023/20242.041 30 67 42 77 127 80 219 809 362 187 41 0
Totale 2.642