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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CCS | 2023-11-12 10:25 |
Toyama | Toyama Prefectural University | Analysis of a simple network topology for optimizer based on spiking-neural oscillator networks Tomoyuki Sasaki (SIT), Hidehiro Nakano (TCU)  CCS2023-34 |
Optimizer based on Spiking Neural-oscillator Networks (OSNNs) are one of the deterministic PSO methods, which are based ... [more] | CCS2023-34 pp.53-57 |
| EMCJ | 2023-01-27 15:50 |
Okayama | WASHU BLUE RESORT (Primary: On-site, Secondary: Online) |
Investigation of Applicable Types of DC-DC Converters to Noise-source Equivalent-circuit Model for Conducted-noise Prediction Yanyu Jin, Shuqi Zhang, Kengo Iokibe, Yoshitaka Toyota (Okayama Univ.) EMCJ2022-89 |
We have so far proposed a noise-source equivalent-circuit model for predicting conducted noise from a DC-DC converter. T... [more] | EMCJ2022-89 pp.93-98 |
| CCS | 2022-11-18 16:00 |
Mie | (Primary: On-site, Secondary: Online) |
Investigation for the coupling interactions in swarm intelligence algorithm based on spiking neural-oscillator networks Tomoyuki Sasaki (SIT), Hidehiro Nakano (TCU) CCS2022-60 |
Optimizer based on Spiking Neural-oscillator Networks (OSNNs) are deterministic swarm intelligence algorithms which intr... [more] | CCS2022-60 pp.85-90 |
| CCS, NLP | 2022-06-10 15:55 |
Osaka | (Primary: On-site, Secondary: Online) |
Swarm intelligence algorithm based on spiking neural-oscillator networks, coupling interactions and solving performances Tomoyuki Sasaki (SIT), Hidehiro Nakano (TCU) NLP2022-22 CCS2022-22 |
Optimizer based on spiking neural-oscillator networks (OSNN) are one of the deterministic swarm intelligence algorithms... [more] |
NLP2022-22 CCS2022-22 pp.111-116 |
| MBE, NC (Joint) |
2022-03-02 11:00 |
Online | Online | Learning of a stacked autoencoder with regularizers added to the cost function, evaluation of their effectiveness, and clarification of its information compression mechanism Masumi Ishikawa (Kyutech) NC2021-49 |
Deep learning has a serious drawback in that the resulting models tend to be a black box, hence hard to understand. A sp... [more] | NC2021-49 pp.17-22 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-23 12:10 |
Online | Online | Deep learning of mixture of continuous and categorical data with regularizers added to the cost function and evaluation of the effectiveness of sparse modeling Masumi Ishikawa (Kyutech) NC2021-45 |
Deep learning has a serious drawback in that the resulting models tend to be a black box, hence hard to understand. A sp... [more] | NC2021-45 pp.65-70 |
| NLP | 2021-12-17 10:00 |
Oita | J:COM Horuto Hall OITA | Basic performances of a swarm intelligence algorithm based on spiking oscillator networks Tomoyuki Sasaki (SIT), Hidehiro Nakano (TCU) NLP2021-43 |
Spiking oscillator networks are simply coupling systems of plural spiking oscillators, which generate various synchroniz... [more] | NLP2021-43 pp.1-6 |
| NLP | 2021-12-18 13:00 |
Oita | J:COM Horuto Hall OITA | A Study on the Solution Finding Ability of PSO Considering Micro Perturbations Riku Takato, Kenya Jin'no (Tokyo City University) NLP2021-61 |
The Particle Swarm Optimization (PSO) method is one of the heuristic methods to search for the optimal value of a black ... [more] | NLP2021-61 pp.82-85 |
| SP, EA, SIP | 2020-03-02 13:00 |
Okinawa | Okinawa Industry Support Center (Cancelled but technical report was issued) |
Vulnerability investigation of speaker verification against black-box adversarial attacks Hiroto Kai, Sayaka Shiota, Hitoshi Kiya (TMU) EA2019-106 SIP2019-108 SP2019-55 |
Recently，vulnerability against adversarial attacks is being feared for machine learning-based systems．Adversarial attack... [more] | EA2019-106 SIP2019-108 SP2019-55 pp.29-33 |
| SP, EA, SIP | 2020-03-02 13:00 |
Okinawa | Okinawa Industry Support Center (Cancelled but technical report was issued) |
[Poster Presentation]
High-precision modeling of distortion stomp box by deep learning using spectral features Kento Yoshimoto, Daichi Kitahara, Akira Hirabayashi (Ritsumeikan Univ.) EA2019-124 SIP2019-126 SP2019-73 |
We propose a method for modeling distortion stomp box with high accuracy using a deep neural network, WaveNet. The conve... [more] | EA2019-124 SIP2019-126 SP2019-73 pp.135-140 |
| NC, MBE | 2019-12-06 15:40 |
Aichi | Toyohashi Tech | Prevention of redundant representations and of the black box in stacked autoencoders Masumi Ishikawa (Kyutech) MBE2019-56 NC2019-47 |
Recent progress in deep learning (DL) is remarkable and its recognition capability is said to surpass that of humans. Th... [more] | MBE2019-56 NC2019-47 pp.67-72 |
| COMP | 2019-03-18 13:45 |
Tokyo | The University of Tokyo | [Invited Talk]
Non-Black-Box Worst-Case to Average-Case Reductions within NP Shuichi Hirahara (Univ. Tokyo) COMP2018-49 |
There are significant obstacles to establishing an equivalence between the worst-case and average-case hardness of NP: S... [more] | COMP2018-49 p.43 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 17:10 |
Kagoshima | Kagoshima University | [Invited Talk]
Pattern Optimization Using Evolutionary Computation Satoshi Ono (Kagoshima Univ.) IMQ2018-51 IE2018-135 MVE2018-82 |
This study focuses Evolutionary Computation (EC) that is a black-box optimization framework for non-differentiable, glob... [more] | IMQ2018-51 IE2018-135 MVE2018-82 pp.165-171 |
| HWS, ISEC, SITE, ICSS, EMM, IPSJ-CSEC, IPSJ-SPT [detail] | 2018-07-25 14:10 |
Hokkaido | Sapporo Convention Center | [Invited Talk]
Memory Lower Bounds of Reductions Revisited (from EUROCRYPT 2018) Yuyu Wang (Tokyo Tech/AIST/IOHK), Takahiro Matsuda, Goichiro Hanaoka (AIST), Keisuke Tanaka (Tokyo Tech) ISEC2018-24 SITE2018-16 HWS2018-21 ICSS2018-27 EMM2018-23 |
In this invited talk, we introduce the paper, “ Memory Lower Bounds of Reductions Revisited ” by Y. Wang, T. Matsuda, G.... [more] | ISEC2018-24 SITE2018-16 HWS2018-21 ICSS2018-27 EMM2018-23 p.93 |
| MBE, NC, NLP (Joint) |
2018-01-27 10:20 |
Fukuoka | Kyushu Institute of Technology | Nonlinear map model optimization method Kenya Jin'no (NIT) NLP2017-95 |
In this article, we propose a nonlinear map-model optimization (abbr. NMO) method. The NMO consists of some particle who... [more] | NLP2017-95 pp.51-54 |
| ISEC | 2015-05-15 16:35 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | [Invited Talk]
Black-Box Separations for One-More (Static) Problems and Its Generalization Jiang Zhang, Zhenfeng Zhang, Yu Chen, Yanfei Guo (CAS), Zongyang Zhang (AIST) ISEC2015-7 |
We will present our ASIACRYPT 2014 paper about the hardness of one-more problems. As previous works only deal with one-m... [more] | ISEC2015-7 p.41 |
| ISEC | 2014-12-19 16:25 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | [Invited Talk]
Round-Efficient Black-Box Construction of Composable Multi-Party Computation Susumu Kiyoshima (NTT) ISEC2014-74 |
We talk about our paper that appeared in CRYPTO 2014.In that paper, we present a round-efficient black-box construction ... [more] | ISEC2014-74 p.23 |
| ICSS, ISEC, SITE, EMM, IPSJ-CSEC, IPSJ-SPT [detail] | 2014-07-04 13:50 |
Hokkaido | San-Refure Hakodate | A Case Study on Light-weight URL Blacklist Generation based on Sandbox Analysis Mitsuhiro Hatada, Takanori Inazumi, Jun Arikawa, Yasuyuki Tanaka (NTT Communications) ISEC2014-44 SITE2014-39 ICSS2014-48 EMM2014-44 |
In order to detect the malware infection in internal network, we focus on HTTP traffic to the Internet. URL blacklist is... [more] | ISEC2014-44 SITE2014-39 ICSS2014-48 EMM2014-44 pp.309-314 |
| COMP, IPSJ-AL | 2013-05-17 13:35 |
Hokkaido | Otaru University of Commerce | Query Complexity of Witness Finding Akinori Kawachi (Tokyo Inst. of Tech.), Benjamin Rossman (NII), Osamu Watanabe (Tokyo Inst. of Tech.) COMP2013-11 |
For any polynomial-time relation L subset_of {0,1}^m x {0,1}^n where n = m^{O(1)}, the classic search-to-decision reduct... [more] | COMP2013-11 pp.39-46 |
| ISEC | 2012-12-12 16:30 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | [Invited Talk]
On the Impossibility of Constructing Efficient Key Encapsulation and Programmable Hash Functions in Prime Order Groups Goichiro Hanaoka, Takahiro Matsuda (AIST), Jacob Schuldt (RHUL) ISEC2012-79 |
In this invited talk, we introduce the lecture with the same title presented at the 32nd International Cryptology Confer... [more] | ISEC2012-79 p.43 |
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