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Graphics processing unit (GPU), although a powerful performance-booster, also has many security vulnerabilities.
Z. Wang and R. B. Lee, “Covert and side channels due to processor architecture,” in
2006
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N. Black and J. Rodzik, “My Other Computer is your GPU: System-Centric CUDA Threat Modeling with CUBAR,”
2010
Earlier work this paper cites.
P. Savage, “ESEA release malware into public client, forcing users to farm Bitcoins,”
2013
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M. J. Patterson, “Vulnerability analysis of GPU computing,” Ph.D. dissertation, Iowa State University, 2013
2013
Earlier work this paper cites.
E. Ladakis, L. Koromilas, G. Vasiliadis, M. Polychronakis, and S. Ioannidis, “You can type, but you can’t hide: A stealthy GPU-based keylogger,” in
2013
Earlier work this paper cites.
J. Danisevskis, M. Piekarska, and J.-P. Seifert, “Dark side of the shader: Mobile gpu-aided malware delivery,” in
2013
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M. Harris, “ Using Shared Memory in CUDA C/C++,”
2013
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S. Mittal, “A Survey Of Techniques for Managing and Leveraging Caches in GPUs,”
2014
Earlier work this paper cites.
S. Lee, Y. Kim, J. Kim, and J. Kim, “Stealing webpages rendered on your browser by exploiting GPU vulnerabilities,” in
2014
Earlier work this paper cites.
C. Maurice, C. Neumann, O. Heen, and A. Francillon, “Confidentiality issues on a GPU in a virtualized environment,” in
2014
Earlier work this paper cites.
F. Lombardi, “Secure Distributed Computing on a Manycore Cloud,” Ph.D. dissertation, 2014
2014
Earlier work this paper cites.
G. Vasiliadis, E. Athanasopoulos, M. Polychronakis, and S. Ioannidis, “PixelVault: Using GPUs for securing cryptographic operations,” in
2014
Earlier work this paper cites.
S. Mittal and J. Vetter, “A Survey of Methods for Analyzing and Improving GPU Energy Efficiency,”
2015
Earlier work this paper cites.
S. Mittal and J. Vetter, “A Survey of CPU-GPU Heterogeneous Computing Techniques,”
2015
Earlier work this paper cites.
J. Price and S. McIntosh-Smith, “Oclgrind: An extensible OpenCL device simulator,” in
2015
Cited alongside, same era.
C. Luo, Y. Fei, P. Luo, S. Mukherjee, and D. Kaeli, “Side-channel power analysis of a GPU AES implementation,” in
2015
Cited alongside, same era.
G. Vasiliadis, M. Polychronakis, and S. Ioannidis, “GPU-assisted malware,”
2015
Cited alongside, same era.
D. Balzarotti, R. Di Pietro, and A. Villani, “The impact of GPU-assisted malware on memory forensics: A case study,”
2015
Cited alongside, same era.
Y. Zhang, B. Yang, M. Rogers, and R. A. Hansen, “Forensically Sound Retrieval and Recovery of Images from GPU Memory,” in
2015
Cited alongside, same era.
S. Mittal, “A survey of cache bypassing techniques,”
2016
Later among the works it cites.
S. Mittal, “A survey of techniques for approximate computing,”
2016
Later among the works it cites.
B. AlBassam, “Enforcing Security Policies On GPU Computing Through The Use Of Aspect-Oriented Programming Techniques,” Ph.D. dissertation, University of South Florida, 2016
2016
Later among the works it cites.
Z. Zhu, S. Kim, Y. Rozhanski, Y. Hu, E. Witchel, and M. Silberstein, “Understanding The Security of Discrete GPUs,” in
2017
Later among the works it cites.
S. Mittal, H. Wang, A. Jog, and J. Vetter, “Design and Analysis of Soft-Error Resilience Mechanisms for GPU Register File,” in
2017
Later among the works it cites.
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2015
Cited alongside, same era.
S. Mittal, “A Survey of Techniques for Architecting and Managing GPU Register File,”
2016
Cited alongside, same era.
Y. Kim, O. Kwon, J. Jang, S. Jin, H. Baek, B. B. Kang, and H. Yoon, “On-demand bootstrapping mechanism for isolated cryptographic operations on commodity accelerators,”
2016
Cited alongside, same era.
R. D. Pietro, F. Lombardi, and A. Villani, “CUDA leaks: a detailed hack for CUDA and a (partial) fix,”
2016
Cited alongside, same era.
X. Bellekens, G. Paul, C. Tachtatzis, J. Irvine, and R. Atkinson, “Strategies for protecting intellectual property when using CUDA applications on graphics processing units,” in
2016
Cited alongside, same era.
Z. H. Jiang, Y. Fei, and D. Kaeli, “A complete key recovery timing attack on a GPU,” in
2016
Cited alongside, same era.
A. Miele, “Buffer overflow vulnerabilities in CUDA: a preliminary analysis,”
2016
Cited alongside, same era.
2017
Later among the works it cites.
Z. Zhou, W. Diao, X. Liu, Z. Li, K. Zhang, and R. Liu, “Vulnerable GPU Memory Management: Towards Recovering Raw Data from GPU,”
2017
Later among the works it cites.
C. Erb, M. Collins, and J. L. Greathouse, “Dynamic buffer overflow detection for GPGPUs,” in
2017
Later among the works it cites.
Z. H. Jiang, Y. Fei, and D. Kaeli, “A Novel Side-Channel Timing Attack on GPUs,” in
2017
Later among the works it cites.
A. B. Hayes, L. Li, M. Hedayati, J. He, E. Z. Zhang, and K. Shen, “GPU Taint Tracking,” in
2017
Later among the works it cites.
S. Mittal, “A Survey of Techniques for Architecting TLBs,”
2017
Later among the works it cites.
S. Mittal, “A survey of techniques for cache partitioning in multicore processors,”
2017
Later among the works it cites.
G. Kadam, D. Zhang, and A. Jog, “RCoal: Mitigating GPU Timing Attack via Subwarp-based Randomized Coalescing Techniques,” in
2018
Closest in time.
S. Mittal and A. Alsalibi, “A survey of techniques for improving security of non-volatile memories,”
2018
Closest in time.