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Publication search results
found 36 matches
- 2022
- John Andrews, Michele Ciampi, Vassilis Zikas:
Etherless Ethereum Tokens: Simulating Native Tokens in Ethereum. CSCML 2022: 388-407 - Dimiter Avresky, Dobrin Dobrev:
Botnet Attack Identification Based on SDN. CSCML 2022: 162-169 - Benjamin Azaria, Lee-Ad Gottlieb:
Predicting Subscriber Usage: Analyzing Multidimensional Time-Series Using Convolutional Neural Networks. CSCML 2022: 259-269 - Dina Barak-Pelleg, Daniel Berend:
Simulating a Coupon Collector. CSCML 2022: 66-77 - Oshri Barazani, David Tolpin:
Monitoring Time Series with Missing Values: A Deep Probabilistic Approach. CSCML 2022: 19-28 - Daniel Berend, Shlomi Dolev, Manish Kumar:
Randomness for Randomness Testing. CSCML 2022: 153-161 - Asa Bornstein, Amir Rubin, Danny Hendler:
Machine-Learning Based Objective Function Selection for Community Detection. CSCML 2022: 135-152 - Novak Boskov, Naor Radami, Trishita Tiwari, Ari Trachtenberg:
Union Buster: A Cross-Container Covert-Channel Exploiting Union Mounting. CSCML 2022: 300-317 - Sreejit Chaudhury, Ajeet Kumar, Subhamoy Maitra, Somjit Roy, Sourav Sen Gupta:
A Heuristic Framework to Search for Approximate Mutually Unbiased Bases. CSCML 2022: 208-223 - Sneha Chauhan, Sugata Gangopadhyay:
Design of Intrusion Detection System Based on Logical Analysis of Data (LAD) Using Information Gain Ratio. CSCML 2022: 47-65 - Michele Ciampi, Muhammad Ishaq, Malik Magdon-Ismail, Rafail Ostrovsky, Vassilis Zikas:
FairMM: A Fast and Frontrunning-Resistant Crypto Market-Maker. CSCML 2022: 428-446 - Christopher Cordi, Michael P. Frank, Kasimir Gabert, Carollan Helinski, Ryan C. Kao, Vladimir Kolesnikov, Abrahim Ladha, Nicholas D. Pattengale:
Auditable, Available and Resilient Private Computation on the Blockchain via MPC. CSCML 2022: 281-299 - Vanesa Daza, Abida Haque, Alessandra Scafuro, Alexandros Zacharakis, Arantxa Zapico:
Mutual Accountability Layer: Accountable Anonymity Within Accountable Trust. CSCML 2022: 318-336 - Shlomi Dolev, Ehud Gudes, Erez Segev, Jeffrey D. Ullman, Grisha Weintraub:
BFLUT Bloom Filter for Private Look Up Tables. CSCML 2022: 499-505 - Shlomi Dolev, Ehud Gudes, Hannah Yair:
Non-stopping Junctions via Traffic Scheduling. CSCML 2022: 247-258 - Nir Drucker, Tomer Pelleg:
Timing Leakage Analysis of Non-constant-time NTT Implementations with Harvey Butterflies. CSCML 2022: 99-117 - Karim Eldefrawy, Tancrède Lepoint, Laura Tam:
In-App Cryptographically-Enforced Selective Access Control for Microsoft Office and Similar Platforms. CSCML 2022: 447-467 - Aviad Elyashar, Jorge Bendahan, Rami Puzis:
Detecting Clickbait in Online Social Media: You Won't Believe How We Did It. CSCML 2022: 377-387 - Brett Hemenway Falk, Rohit Nema, Rafail Ostrovsky:
A Linear-Time 2-Party Secure Merge Protocol. CSCML 2022: 408-427 - Sergey Frenkel:
Predicting the Direction of Changes in the Values of Time Series for Relatively Small Training Samples. CSCML 2022: 118-134 - Nimrod Gradus, Asaf Cohen, Erez Biton, Omer Gurwitz:
Reinforcement Based User Scheduling for Cellular Communications. CSCML 2022: 189-207 - Shay Gueron:
Counter Mode for Long Messages and a Long Nonce. CSCML 2022: 224-231 - Hen Hayoon, Yossi Oren:
Time, Memory and Accuracy Tradeoffs in Side-Channel Trace Profiling. CSCML 2022: 29-46 - Marc Joye, Pascal Paillier:
Blind Rotation in Fully Homomorphic Encryption with Extended Keys. CSCML 2022: 1-18 - Panos Kampanakis, Michael G. Kallitsis:
Faster Post-Quantum TLS Handshakes Without Intermediate CA Certificates. CSCML 2022: 337-355 - Pablo Kogan, Tamir Tassa, Tal Grinshpoun:
Privacy Preserving DCOP Solving by Mediation. CSCML 2022: 487-498 - Rajnish Kumar, Shlomi Arnon:
Enhancing Cybersecurity of Satellites at Sub-THz Bands. CSCML 2022: 356-365 - Vasiliki Liagkou, Panagiotis E. Nastou, Paul G. Spirakis, Yannis C. Stamatiou:
On the Undecidability of the Panopticon Detection Problem. CSCML 2022: 78-87 - Samanvaya Panda:
Polynomial Approximation of Inverse sqrt Function for FHE. CSCML 2022: 366-376 - Vasyl Pihur, Aleksandra Korolova, Frederick Liu, Subhash Sankuratripati, Moti Yung, Dachuan Huang, Ruogu Zeng:
Differentially-Private "Draw and Discard" Machine Learning: Training Distributed Model from Enormous Crowds. CSCML 2022: 468-486
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