statistiche ricercatore

Continente	#
EU - Europa	8.439
AS - Asia	646
NA - Nord America	634
SA - Sud America	97
AF - Africa	34
OC - Oceania	28
Continente sconosciuto - Info sul continente non disponibili	1
Totale	9.879

Nazione	#
IT - Italia	8.178
US - Stati Uniti d'America	607
CN - Cina	204
SG - Singapore	194
BR - Brasile	81
DE - Germania	65
SE - Svezia	58
VN - Vietnam	43
HK - Hong Kong	42
GB - Regno Unito	37
KR - Corea	31
AU - Australia	22
IN - India	22
JP - Giappone	21
FR - Francia	19
CA - Canada	18
FI - Finlandia	15
AT - Austria	11
ID - Indonesia	10
MY - Malesia	10
NL - Olanda	10
ZA - Sudafrica	10
IR - Iran	8
MX - Messico	8
PT - Portogallo	8
AR - Argentina	7
CI - Costa d'Avorio	7
NG - Nigeria	7
PK - Pakistan	7
PL - Polonia	7
RU - Federazione Russa	7
TW - Taiwan	7
GR - Grecia	6
NZ - Nuova Zelanda	6
TH - Thailandia	6
UA - Ucraina	6
BD - Bangladesh	5
IL - Israele	5
TR - Turchia	5
AZ - Azerbaigian	4
CH - Svizzera	4
DZ - Algeria	4
EC - Ecuador	4
AM - Armenia	3
IQ - Iraq	3
PH - Filippine	3
AE - Emirati Arabi Uniti	2
ES - Italia	2
KW - Kuwait	2
NO - Norvegia	2
PE - Perù	2
TN - Tunisia	2
YE - Yemen	2
AO - Angola	1
BA - Bosnia-Erzegovina	1
BW - Botswana	1
CL - Cile	1
CO - Colombia	1
EG - Egitto	1
EU - Europa	1
IM - Isola di Man	1
JO - Giordania	1
KZ - Kazakistan	1
LT - Lituania	1
MA - Marocco	1
MO - Macao, regione amministrativa speciale della Cina	1
NI - Nicaragua	1
NP - Nepal	1
OM - Oman	1
RO - Romania	1
SA - Arabia Saudita	1
UY - Uruguay	1
UZ - Uzbekistan	1
Totale	9.879

Nome	#
Deep neural rejection against adversarial examples	2.171
IntelliAV: Toward the feasibility of building intelligent anti-malware on Android devices	1.992
AI Security and Safety: The PRALab Research Experience	932
Detecting Attacks Against Deep Reinforcement Learning for Autonomous Driving	677
FADER: Fast Adversarial Example Rejection	666
ImageNet-Patch: a dataset for benchmarking machine learning robustness against adversarial patches	623
Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers	588
secml: Secure and explainable machine learning in Python	559
Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples	490
Explainability-based Debugging of Machine Learning for Vulnerability Discovery	480
Evaluating Adversarial Robustness of Detection-based Defenses against Adversarial Examples	428
An Experimental Analysis of Semi-supervised Learning for Malware Detection	166
Understanding Regression in Continual Learning for Malware Detection	163
Evaluating Line-level Localization Ability of Learning-based Code Vulnerability Detection Models	17
Totale	9.952

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2020/2021	449	0	0	0	0	0	115	97	48	23	57	62	47
2021/2022	350	33	14	6	19	24	36	26	9	45	50	39	49
2022/2023	977	36	92	76	50	79	117	78	75	87	83	131	73
2023/2024	2.095	57	43	69	226	274	291	329	186	77	151	217	175
2024/2025	3.736	879	937	397	421	204	270	301	50	52	47	92	86
2025/2026	856	180	158	159	114	154	91	0	0	0	0	0	0
Totale													9.952

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