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Threat Modeling for AI: The Case for an Asset-Centric Approach

Threat Modeling for AI: The Case for an Asset-Centric Approach

8 May 2025
Jose Sanchez Vicarte
Marcin Spoczynski
Mostafa Elsaid
ArXivPDFHTML

Papers citing "Threat Modeling for AI: The Case for an Asset-Centric Approach"

11 / 11 papers shown
Title
Atlas: A Framework for ML Lifecycle Provenance & Transparency
Atlas: A Framework for ML Lifecycle Provenance & Transparency
Marcin Spoczynski
Marcela S. Melara
Siyang Song
182
1
0
26 Feb 2025
Not what you've signed up for: Compromising Real-World LLM-Integrated
  Applications with Indirect Prompt Injection
Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection
Kai Greshake
Sahar Abdelnabi
Shailesh Mishra
C. Endres
Thorsten Holz
Mario Fritz
SILM
115
488
0
23 Feb 2023
DeepSteal: Advanced Model Extractions Leveraging Efficient Weight
  Stealing in Memories
DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories
Adnan Siraj Rakin
Md Hafizul Islam Chowdhuryy
Fan Yao
Deliang Fan
AAML
MIACV
60
113
0
08 Nov 2021
Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning
Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning
Linyang Li
Demin Song
Xiaonan Li
Jiehang Zeng
Ruotian Ma
Xipeng Qiu
105
140
0
31 Aug 2021
Extracting Training Data from Large Language Models
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
439
1,915
0
14 Dec 2020
Data-Free Model Extraction
Data-Free Model Extraction
Jean-Baptiste Truong
Pratyush Maini
R. Walls
Nicolas Papernot
MIACV
67
188
0
30 Nov 2020
Label-Only Membership Inference Attacks
Label-Only Membership Inference Attacks
Christopher A. Choquette-Choo
Florian Tramèr
Nicholas Carlini
Nicolas Papernot
MIACV
MIALM
87
505
0
28 Jul 2020
Weight Poisoning Attacks on Pre-trained Models
Weight Poisoning Attacks on Pre-trained Models
Keita Kurita
Paul Michel
Graham Neubig
AAML
SILM
134
450
0
14 Apr 2020
HarDNN: Feature Map Vulnerability Evaluation in CNNs
HarDNN: Feature Map Vulnerability Evaluation in CNNs
Abdulrahman Mahmoud
S. Hari
Christopher W. Fletcher
Sarita Adve
Charbel Sakr
Naresh R Shanbhag
Pavlo Molchanov
Michael B. Sullivan
Timothy Tsai
S. Keckler
39
38
0
22 Feb 2020
Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural
  Networks Under Hardware Fault Attacks
Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks
Sanghyun Hong
Pietro Frigo
Yigitcan Kaya
Cristiano Giuffrida
Tudor Dumitras
AAML
53
211
0
03 Jun 2019
Understanding deep learning requires rethinking generalization
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
328
4,624
0
10 Nov 2016
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