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Exploiting Bank Conflict-based Side-channel Timing Leakage of GPUs
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-21476-4_8openalex-snapshot
A Faster and More Realistic Flush+Reload Attack on AES
inferredcites →https://doi.org/10.1007/978-3-319-40667-1_14openalex-snapshot
Flush+Flush: A Fast and Stealthy Cache Attack
inferredcites →https://doi.org/10.1007/978-3-540-85053-3_27openalex-snapshot
Mutual Information Analysis
inferredcites →https://doi.org/10.1007/978-3-642-04159-4_11openalex-snapshot
On the Exact Success Rate of Side Channel Analysis in the Gaussian Model
inferredcites →https://doi.org/10.1007/978-3-642-13858-4_5openalex-snapshot
Fast Software AES Encryption
inferredcites →https://doi.org/10.1007/978-3-642-33383-5_21openalex-snapshot
GPU-Acceleration of Block Ciphers in the OpenSSL Cryptographic Library
inferredcites →https://doi.org/10.1007/s00145-009-9049-yopenalex-snapshot
Efficient Cache Attacks on AES, and Countermeasures
inferredcites →https://doi.org/10.1007/s13389-017-0152-yopenalex-snapshot
CacheBleed: a timing attack on OpenSSL constant-time RSA
inferredcites →https://doi.org/10.1016/b978-0-12-387766-6.00024-4openalex-snapshot
Introduction to Parallel Programming
inferredcites →https://doi.org/10.1109/dac.2014.6881536openalex-snapshot
QMS: Evaluating the side-channel resistance of masked software from source code
inferredcites →https://doi.org/10.1109/hpca.2009.4798277openalex-snapshot
Hardware-software integrated approaches to defend against software cache-based side channel attacks
inferredcites →https://doi.org/10.1109/hpca.2018.00023openalex-snapshot
RCoal: Mitigating GPU Timing Attack via Subwarp-Based Randomized Coalescing Techniques
inferredcites →https://doi.org/10.1109/hpcc.2012.119openalex-snapshot
Implementation and Analysis of AES Encryption on GPU
inferredcites →https://doi.org/10.1109/iccad.2017.8203771openalex-snapshot
A novel cache bank timing attack
inferredcites →https://doi.org/10.1109/iccd.2015.7357115openalex-snapshot
Side-channel power analysis of a GPU AES implementation
inferredcites →https://doi.org/10.1109/iccd.2018.00020openalex-snapshot
A Timing Side-Channel Attack on a Mobile GPU
inferredcites →https://doi.org/10.1109/micro.1996openalex-snapshot
Proceedings of the 29th Annual IEEE/ACM International Symposium on Microarchitecture. MICRO 29
inferredcites →https://doi.org/10.1109/micro.2018.00083openalex-snapshot
DAWG: A Defense Against Cache Timing Attacks in Speculative Execution Processors
inferredcites →https://doi.org/10.1145/1655008.1655019openalex-snapshot
Resource management for isolation enhanced cloud services
inferredcites →https://doi.org/10.1145/2976749.2978324openalex-snapshot
A Software Approach to Defeating Side Channels in Last-Level Caches
inferredcites →https://doi.org/10.1145/3060403.3060462openalex-snapshot
A Novel Side-Channel Timing Attack on GPUs
inferredcites →https://doi.org/10.1145/3123939.3124538openalex-snapshot
Constructing and characterizing covert channels on GPGPUs
inferredcites →https://doi.org/10.1145/3196494.3196501openalex-snapshot
Leveraging Hardware Transactional Memory for Cache Side-Channel Defenses
inferredcites →https://doi.org/10.1145/3240765.3240812openalex-snapshot
GPU acceleration of RSA is vulnerable to side-channel timing attacks
inferredcites →https://doi.org/10.15803/ijnc.2.2_251openalex-snapshot
High-Performance Symmetric Block Ciphers on Multicore CPU and GPUs
inferredcites →https://doi.org/10.1587/transinf.e97.d.1506openalex-snapshot
Throughput and Power Efficiency Evaluation of Block Ciphers on Kepler and GCN GPUs Using Micro-Benchmark Analysis
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-80408-3_2openalex-snapshot
SideLink: Exposing NVLink to Covert and Side-Channel Attacks Official Work-in-Progress Paper
inferred← citeshttps://doi.org/10.1007/s11390-020-0780-zopenalex-snapshot
A Survey of Non-Volatile Main Memory Technologies: State-of-the-Arts, Practices, and Future Directions
inferred← citeshttps://doi.org/10.1007/s41635-025-00170-0openalex-snapshot
An Improved Micro-Architectural Covert-Channel Attack on GPUs
inferred← citeshttps://doi.org/10.1007/s41635-026-00175-3openalex-snapshot
SideLink: Exposing NVLink to Covert- and Side-Channel Attacks
inferred← citeshttps://doi.org/10.1016/j.sysarc.2022.102518openalex-snapshot
Symbolic identification of shared memory based bank conflicts for GPUs
inferred← citeshttps://doi.org/10.1109/dsn58291.2024.00044openalex-snapshot
Owl: Differential-Based Side-Channel Leakage Detection for CUDA Applications
inferred← citeshttps://doi.org/10.1109/icce-asia49877.2020.9276805openalex-snapshot
GPU Side-Channel Attacks are Everywhere: A Survey
inferred← citeshttps://doi.org/10.1109/icoin50884.2021.9333985openalex-snapshot
Constructing Covert Channel on Intel CPU-iGPU platform
inferred← citeshttps://doi.org/10.1109/micro50266.2020.00061openalex-snapshot
Jumanji: The Case for Dynamic NUCA in the Datacenter
inferred← citeshttps://doi.org/10.1109/sp46214.2022.9833773openalex-snapshot
Graphics Peeping Unit: Exploiting EM Side-Channel Information of GPUs to Eavesdrop on Your Neighbors
inferred← citeshttps://doi.org/10.1109/sp63933.2026.00254openalex-snapshot
Practical Covert Channel Across Isolated Browser Instances via GPU Command Queue Contention
inferred← citeshttps://doi.org/10.1109/tifs.2020.3023278openalex-snapshot
Side-Channel Attacks With Multi-Thread Mixed Leakage
inferred← citeshttps://doi.org/10.1145/3433210.3453077openalex-snapshot
(Mis)managed: A Novel TLB-based Covert Channel on GPUs
inferred← citeshttps://doi.org/10.1145/3466752.3480093openalex-snapshot
Network-on-Chip Microarchitecture-based Covert Channel in GPUs
inferred← citeshttps://doi.org/10.1145/3570638openalex-snapshot
Optimization Techniques for GPU Programming
inferred← citeshttps://doi.org/10.1145/3634737.3656283openalex-snapshot
Generic and Automated Drive-by GPU Cache Attacks from the Browser
inferred← citeshttps://doi.org/10.1145/3689797openalex-snapshot
Sound and Partially-Complete Static Analysis of Data-Races in GPU Programs
inferred← citeshttps://doi.org/10.1145/3708531openalex-snapshot
Large Language Model Supply Chain: A Research Agenda
inferred← citeshttps://doi.org/10.1145/3719027.3744823openalex-snapshot
MOLE : Breaking GPU TEE with GPU-Embedded MCU
inferred← citeshttps://doi.org/10.3384/9789179294885openalex-snapshot
Performance and Security Analysis for GPU-Based Applications
inferred← citeshttps://doi.org/10.3390/app12063014openalex-snapshot
Customized Convolutional Neural Networks Technology for Machined Product Inspection
inferred← citeshttps://doi.org/10.3390/s22249783openalex-snapshot
Automated Machine Learning System for Defect Detection on Cylindrical Metal Surfaces
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