16 citations · 35 across the 14 of their papers we have counts for
5 papers · 1 filter
HULK: An Efficient Algorithm for Enabling Fast Bulk Bitwise Operations on Homomorphically Encrypted Data
Mayank Kabra, Phillip Widdowson, Harshita Gupta +9
A wide range of important cloud applications, e.g., database analytics, graph analytics, and genome analysis, spend a considerable amount of time performing bulk bitwise operations…
Demystifying DRAM Read Disturbance: Bridging the Gap Between Experimental Characterization and Device-Level Modeling of RowHammer and RowPress Phenomena
Haocong Luo, Longda Zhou, Ataberk Olgun +5
DRAM read disturbance, like RowHammer and RowPress, is a critical robustness issue where accessing DRAM can cause unintended bitflips in other unaccessed DRAM locations. DRAM read…
DejaVu: Why You Should Write to Your DRAM Rows Twice, Carefully
Haocong Luo, İsmail Emir Yüksel, Ataberk Olgun +4
We provide the first experimental demonstration of DejaVu, a phenomenon where the data previously written to DRAM cells affects DRAM's vulnerability to read disturbance. Our experi…
PuDGhost: Experimental Analysis of Computation Result Corruption in Processing-using-DRAM Operations on Real DRAM Chips and Implications for Future Systems
Daichi Tokuda, İsmail Emir Yüksel, Tatsuya Kubo +7
Processing-using-DRAM (PuD) is a promising computation paradigm that alleviates frequent data movement between main memory and processing units by using each DRAM column as a compu…
HE-PIM: Demystifying Homomorphic Operations on a Real-world Processing-in-Memory System
Harshita Gupta, Mayank Kabra, Jaewoo Park +9
Homomorphic encryption (HE) enables computation over encrypted data, offering strong privacy guarantees for untrusted computing environments. Practical adoption remains limited by…