Foreshadow-NG: Breaking the virtual memory abstraction with transient out-of-order execution
By Ofir Weisse, Jo Van Bulck, Marina Minkin, Daniel Genkin, Baris Kasikci, Frank Piessens, Mark Silberstein, Raoul Strackx, Thomas F. Wenisch, Yuval Yarom. 2018
196 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Abhishek Singh
- Praneeth Vepakomma
- Fatemehsadat Mireshghallah
- Ramesh Raskar
- Mohammadkazem Taram
- Pietro Frigo
- Prakash Ramrakhyani
- Fatemehsadat Mirshghallah
Citations in the corpus
- Privacy in Deep Learning: A Survey (2020, background): “This execution model, however, requires the users to send their data to an enclave running on remote servers which allows the remote server to have access to the raw data and as the new breaches in hardware [32, 31, 128, 129, 130, 131] show, the access can lead to comprised privacy.”
- Shredder: Learning Noise Distributions to Protect Inference Privacy (2019, methodology): “ers to send their data to an enclave running on a remote servers. In contrast to Shredder, this model still allows the remote server to have access to the raw data and as the new breaches in hardware [1, 2, 61, 62, 63, 64] show, the access can lead to comprised privacy. Differential privacy. As a ma”
- RIDL: Rogue In-Flight Data Load (2019, background): “Foreshadow [75] disclosed how the deferral of a Terminal Fault (#TF) generated by a failed check on the present or reserved bits of a PTE allows leaking arbitrary contents from the L1 cache.”
- A Systematic Evaluation of Transient Execution Attacks and Defenses (2018, background): “Thus, Intel proposes a multi-stage approach to mitigate Foreshadow (L1TF) attacks on current CPUs [39, 93].”
- Context-Sensitive Fencing: Securing Speculative Execution via Microcode Customization (2019, background): “2 [54] Read-only Protection Bypass Spectre v5 [59, 66] Ret2Spec and SpecRSB NetSpectre [76] Remote Bounds Check Bypass Foreshadow [87, 95] L1 Terminal Fault”
- Shredder: Learning Noise to Protect Privacy with Partial DNN Inference on the Edge (2019, methodology): “In contrast to Shredder, this model still allows the remote server to have access to the raw data and as the new breaches in hardware [1, 2, 61, 62, 63, 64] show, the access can lead to comprised privacy.”
- A Survey of Distributed Consensus Protocols for Blockchain Networks (2019, background): “Recent attacks such as cache attacks [123], Foreshadow [124] and Foreshadow-NG [125] have demonstrated the ability to extract the EPID private key from hardware exploiting side channels and speculative execution, posing a security threat at the hardware level.”