Model Inversion Attack - Revision history

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2024-10-07T03:11:44Z

Examples:

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	'''Use Case Example(s):''' <br>		'''Use Case Example(s):''' <br>
	Fredrikson et al<ref>Fredrikson, M., Jha, S., & Ristenpart, T. (2015, October). Model inversion attacks that exploit confidence information and basic countermeasures. In Proceedings of the 22nd ACM SIGSAC conference on computer and communications security (pp. 1322-1333).</ref> had adversarial access to an ML model, which they abused to reveal sensitive individual genomic information. This research team developed a new class of model inversion attack that both exploited confidence values and revealed predictions.		Fredrikson et al<ref>Fredrikson, M., Jha, S., & Ristenpart, T. (2015, October). Model inversion attacks that exploit confidence information and basic countermeasures. In Proceedings of the 22nd ACM SIGSAC conference on computer and communications security (pp. 1322-1333). https://dl.acm.org/doi/abs/10.1145/2810103.2813677</ref> had adversarial access to an ML model, which they abused to reveal sensitive individual genomic information. This research team developed a new class of model inversion attack that both exploited confidence values and revealed predictions.

	'''Example(s) From The Wild:''' <br>		'''Example(s) From The Wild:''' <br>

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Examples:

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	'''Use Case Example(s):''' <br>		'''Use Case Example(s):''' <br>
			Fredrikson et al<ref>Fredrikson, M., Jha, S., & Ristenpart, T. (2015, October). Model inversion attacks that exploit confidence information and basic countermeasures. In Proceedings of the 22nd ACM SIGSAC conference on computer and communications security (pp. 1322-1333).</ref> had adversarial access to an ML model, which they abused to reveal sensitive individual genomic information. This research team developed a new class of model inversion attack that both exploited confidence values and revealed predictions.

	'''Example(s) From The Wild:''' <br>		'''Example(s) From The Wild:''' <br>

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2024-10-07T02:48:52Z

Description:

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	'''Multipliers:''' <br>		'''Multipliers:''' <br>

	'''Detailed Description:''' Model Inversion Attacks utilize a model’s outputs as a means to reconstruct original training data sets or samples, potentially revealing sensitive information. A Model Inversion Attack requires awareness of model structure and outputs which the attacker uses to associate inputs and outputs. Through an iterative process, the attacker cumulatively reconstructs original input data. These attacks have the potential to reveal to sensitive training data.		'''Detailed Description:''' Model Inversion Attacks utilize a model’s outputs as a means to reconstruct original training data sets or samples, potentially revealing sensitive information. A Model Inversion Attack requires awareness of model structure and outputs which the attacker uses to associate inputs and outputs. Through an iterative process, the attacker cumulatively reconstructs original input data. These attacks have the potential to reveal to sensitive training data<ref>https://saturncloud.io/glossary/model-inversion-attacks/</ref>.
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2024-10-07T02:47:55Z

Description:

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	'''Multipliers:''' <br>		'''Multipliers:''' <br>

	'''Detailed Description:''' ~~Attacker is able~~ to ~~infer characteristics about the model~~ training data ~~with varying degrees of accuracy~~, revealing ~~potentially~~ sensitive information. <br>		'''Detailed Description:''' Model Inversion Attacks utilize a model’s outputs as a means to reconstruct original training data sets or samples, potentially revealing sensitive information. A Model Inversion Attack requires awareness of model structure and outputs which the attacker uses to associate inputs and outputs. Through an iterative process, the attacker cumulatively reconstructs original input data. These attacks have the potential to reveal to sensitive training data.
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	'''INTERACTIONS''' [VETs]: <br>		'''INTERACTIONS''' [VETs]: <br>

EE: Created page with "== '''Model Inversion Attack ''' == '''Short Description:''' Attacker uses model responses to recontruct training dataset.
'''CAT ID:''' CAT-2023-014
'''Layer:''' 7
'''Operational Scale:''' Operational
'''Level of Maturity:''' Proof of Concept
'''Category:''' Exploit
'''Subcategory:'''
'''Also Known As:'''
== '''Description:''' == '''Brief Description:'''
'''Closely Related Concepts:'''
'''Mechanism:'..."

2024-07-30T02:42:48Z

Created page with "== '''Model Inversion Attack ''' == '''Short Description:''' Attacker uses model responses to recontruct training dataset. '''CAT ID:''' CAT-2023-014 '''Layer:''' 7 '''Operational Scale:''' Operational '''Level of Maturity:''' Proof of Concept '''Category:''' Exploit '''Subcategory:''' '''Also Known As:''' == '''Description:''' == '''Brief Description:''' '''Closely Related Concepts:''' '''Mechanism:'..."

New page

== '''Model Inversion Attack ''' ==

'''Short Description:''' Attacker uses model responses to recontruct training dataset. 

'''CAT ID:''' CAT-2023-014 

'''Layer:''' 7 

'''Operational Scale:''' Operational 

'''Level of Maturity:''' Proof of Concept 

'''Category:''' Exploit 

'''Subcategory:''' 

'''Also Known As:''' 

== '''Description:''' ==

'''Brief Description:''' 

'''Closely Related Concepts:''' 

'''Mechanism:''' 

'''Multipliers:''' 

'''Detailed Description:''' Attacker is able to infer characteristics about the model training data with varying degrees of accuracy, revealing potentially sensitive information. 

'''INTERACTIONS''' [VETs]: 

== '''Examples:''' ==

'''Use Case Example(s):''' 

'''Example(s) From The Wild:''' 

== '''Comments:''' ==

== '''References:''' ==