142 research outputs found
Toward Practical Privacy-Preserving Convolutional Neural Networks Exploiting Fully Homomorphic Encryption
Incorporating fully homomorphic encryption (FHE) into the inference process
of a convolutional neural network (CNN) draws enormous attention as a viable
approach for achieving private inference (PI). FHE allows delegating the entire
computation process to the server while ensuring the confidentiality of
sensitive client-side data. However, practical FHE implementation of a CNN
faces significant hurdles, primarily due to FHE's substantial computational and
memory overhead. To address these challenges, we propose a set of
optimizations, which includes GPU/ASIC acceleration, an efficient activation
function, and an optimized packing scheme. We evaluate our method using the
ResNet models on the CIFAR-10 and ImageNet datasets, achieving several orders
of magnitude improvement compared to prior work and reducing the latency of the
encrypted CNN inference to 1.4 seconds on an NVIDIA A100 GPU. We also show that
the latency drops to a mere 0.03 seconds with a custom hardware design.Comment: 3 pages, 1 figure, appears at DISCC 2023 (2nd Workshop on Data
Integrity and Secure Cloud Computing, in conjunction with the 56th
International Symposium on Microarchitecture (MICRO 2023)
Bonghan Ducts as Possible Pathways for Cancer Metastasis
Objective: The present study has been designed to find a possible new route for the
metastasis of cancer cells on the fascia surrounding tumor tissue using a novel technique
of trypan blue staining.
Materials and Methods: Tumor tissues were grown in the skin of nude mice after subcutaneous
inoculation with human lung cancer cells. Trypan blue was recently identified
as a dye with specificity for Bonghan ducts (BHDs) and not other tissues, such as
blood or lymph vessels or nerves.
Results: We demonstrate that the trypan blue staining technique allows the first
visualization of BHDs which are connected to tumor tissues
Bonghan Ducts as Possible Pathways for Cancer Metastasis
Objective: The present study has been designed to find a possible new route for the
metastasis of cancer cells on the fascia surrounding tumor tissue using a novel technique
of trypan blue staining.
Materials and Methods: Tumor tissues were grown in the skin of nude mice after subcutaneous
inoculation with human lung cancer cells. Trypan blue was recently identified
as a dye with specificity for Bonghan ducts (BHDs) and not other tissues, such as
blood or lymph vessels or nerves.
Results: We demonstrate that the trypan blue staining technique allows the first
visualization of BHDs which are connected to tumor tissues
Prevalence and Risk Factor of Erosive Esophagitis Observed in Korean National Cancer Screening Program
Prevalence of erosive esophagitis (EE) has been increasing in Korea. The purpose of this study was to estimate prevalence of EE among low socioeconomic population in Korea and to investigate risk factors for EE. We reviewed the medical records of 7,278 subjects who were examined by upper endoscopy in the Korean National Cancer Screening Program at Chung-Ang University Yong-san Hospital from March 2003 to March 2008. The study population included subjects ≥ 40 yr of age who were Medicaid recipients and beneficiaries in the National Health Insurance Corporation. Multivariate analysis was used to determine risk factors for EE. Prevalence of EE was 6.7% (486/7,278). According to the LA classification system, LA-A in 344 subjects, LA-B in 135 subjects, and LA-C and D in 7 subjects. In multivariate analysis, age ≥ 60 yr, male sex, BMI ≥ 25, current smoking, alcohol consumption, fasting glucose level ≥ 126 mg/dL, and endoscopic hiatal hernia were significant risk factors for EE. The prevalence of EE in low socioeconomic Korean population is similar to that in personal annual medical check-ups. Risk factors for EE among them include old age, male sex, BMI ≥ 25, current smoking, alcohol consumption, fasting glucose level ≥ 126 mg/dL, and hiatal hernia
High-precision RNS-CKKS on fixed but smaller word-size architectures: theory and application
A prevalent issue in the residue number system (RNS) variant of the Cheon-Kim-Kim-Song (CKKS) homomorphic encryption (HE) scheme is the challenge of efficiently achieving high precision on hardware architectures with a fixed, yet smaller, word-size of bit-length , especially when the scaling factor satisfies .
In this work, we introduce an efficient solution termed composite scaling. In this approach, we group multiple RNS primes as such that for , and use each composite in the rescaling procedure as . Here, the number of primes, denoted by , is termed the composition degree. This strategy contrasts the traditional rescaling method in RNS-CKKS, where each is chosen as a single -bit prime, a method we designate as single scaling.
To achieve higher precision in single scaling, where , one would either need a novel hardware architecture with word size or would have to resort to relatively inefficient solutions rooted in multi-precision arithmetic. This problem, however, doesn\u27t arise in composite scaling. In the composite scaling approach, the larger the composition degree , the greater the precision attainable with RNS-CKKS across an extensive range of secure parameters tailored for workload deployment.
We have integrated composite scaling RNS-CKKS into both OpenFHE and Lattigo libraries. This integration was achieved via a concrete implementation of the method and its application to the most up-to-date workloads, specifically, logistic regression training and convolutional neural network inference. Our experiments demonstrate that single and composite scaling approaches are functionally equivalent, both theoretically and practically
Clinical Significance of a Large Difference (≥ 2 points) between Biopsy and Post-prostatectomy Pathological Gleason Scores in Patients with Prostate Cancer
We investigated the clinical significance of large difference (≥ 2 points) between biopsy-derived (bGS) and post-prostatectomy Gleason scores (pGS). At 14 medical centers in Korea, 1,582 men who underwent radical prostatectomy for prostate cancer were included. According to the difference between bGS and pGS, the patients were divided into three groups: A (decreased in pGS ≥ 2, n = 30), B (changed in pGS ≤ 1, n = 1,361; control group), and C (increased in pGS ≥ 2, n = 55). We evaluated various clinicopathological factors of prostate cancer and hazards for biochemical failure. Group A showed significantly higher mean maximal percentage of cancer in the positive cores (max%) and pathological T stage than control. In group C, the number of biopsy core was significantly smaller, however, tumor volume and max% were significantly higher and more positive biopsy cores were presented than control. Worse pathological stage and more margin-positive were observed in group A and C than in control. Hazard ratio for biochemical failure was also higher in group A and C (P = 0.001). However, the groups were not independent factors in multivariate analysis. In conclusion, large difference between bGS and pGS shows poor prognosis even in the decreased group. However it is not an independent prognostic factor for biochemical failure
Prognostic perspectives of PD-L1 combined with tumor-infiltrating lymphocytes, Epstein-Barr virus, and microsatellite instability in gastric carcinomas
Background
The prognostic potential of PD-L1 is currently unclear in gastric carcinomas, although the immune checkpoint PD-1/PD-L1 inhibitors have produced promising results in clinical trials.
Methods
We explored the prognostic implications of programmed death ligand 1 (PD-L1) in 514 consecutive surgically-resected gastric carcinomas. Overall survival and recurrence-free survival were evaluated. Immunohistochemistry for PD-L1, CD8, FOXP3, and PD-1, and molecular grouping by in situ hybridization for Epstein-Barr virus (EBV)-encoded small RNAs and multiplex PCR for microsatellite instability (MSI) markers were performed. Additionally, to explore the function inherent to PD-L1, PD-L1-specific siRNA transfection, cell proliferation, invasion, migration and apoptosis assays were conducted in five gastric carcinoma cell lines.
Results
PD-L1(+) tumor and immune cells were observed in 101 (20%) and 244 patients (47%), respectively. Tumoral PD-L1(+)/immune cell PD-L1(-)/CD8+/low tumor-infiltrating lymphocytes (TILs), and more advanced-stage tumors were associated with unfavorable clinical outcomes in the entire cohort through multivariate analysis. Furthermore, tumoral PD-L1(+)/FOXP3+/low TILs were associated with worse clinical outcomes in EBV-positive and MSI-high carcinomas. Tumoral PD-L1(+) alone was an adverse prognostic factor in EBV-positive carcinomas, but not in MSI-high carcinomas, whereas PD-L1(+) immune cells or FOXP3+/high TILs alone were correlated with a favorable prognosis. PD-L1 knockdown in gastric carcinoma cells suppressed cell proliferation, invasion and migration, and increased apoptosis, which were all statistically significant in two EBV(+) cell lines, but not all in three EBV(−) cell lines.
Conclusions
The prognostic impact of PD-L1 may depend on the tumor microenvironment, and statuses of EBV and MSI, although PD-L1 innately promotes cancer cell survival in cell-based assays. The combination of tumoral PD-L1/immune cell PD-L1/CD8+ TILs may serve as an independent prognostic factor. Tumoral PD-L1(+)/immune cell PD-L1(−)/CD8+/low TILs showing a worse prognosis may be beneficial for combinatorial therapies of anti-PD-L1/PD-1 and anti-cytotoxic T-lymphocyte associated antigen 4 (CTLA4) that would promote effector T cells, thus attack the tumor.This work was supported by the Basic Science Research Program of the National Research Foundation of Korea, which is funded by the Ministry of Education (2016R1D1A1B01010316)
Short rare hTERT-VNTR2-2nd alleles are associated with prostate cancer susceptibility and influence gene expression
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