Privacy-Preserving Network Analytics

References

• Abbe EA, Khandani AE, Lo AW (2012) Privacy-preserving methods for sharing financial risk exposures. Amer. Econom. Rev. 102(3):65–70.Crossref, Google Scholar
• Acemoglu D, Ozdaglar A, Tahbaz-Salehi A (2015) Systemic risk and stability in financial networks. Amer. Econom. Rev. 2015:564–608.Crossref, Google Scholar
• Allen F, Gale D (1998) Optimal financial crises. J. Finance 53(4):1245–1284.Crossref, Google Scholar
• Allen F, Gale D (2000) Financial contagion. J. Political Econom. 108(1):1.Crossref, Google Scholar
• Aly A, Keller M, Rotaru D, Scholl P, Smart NP, Wood T (2019) Scale-mamba. Accessed February 2, 2021, https://homes.esat.kuleuven.be/~nsmart/SCALE/.Google Scholar
• Anand K, van Lelyveld I, Banai Á, Friedrich S, Garratt R, Hałaj G, Fique J, et al. (2018) The missing links: A global study on uncovering financial network structures from partial data. J. Financial Stability 35:107–119.Crossref, Google Scholar
• Asharov G, Hybinette Balch T, Polychroniadou A, Veloso M (2020) Privacy-preserving dark pools. Proc. 19th Internat. Conf. on Autonomous Agents and MultiAgent Systems, 1747–1749.Google Scholar
• Babich V, Marinesi S, Tsoukalas G (2021) Does crowdfunding benefit entrepreneurs and venture capital investors? Manufacturing Service Oper. Management 23(2):508–524.Abstract, Google Scholar
• Baudino P, Goetschman R, Henry J, Taniguchi K, Zhu W (2018) FSI insights on policy implementation no 12: Stress-testing banks: A comparative analysis. Technical report, Financial Stability Institute.Google Scholar
• Beimel A (2011) Secret-sharing schemes: A survey. Internat. Conf. Coding Cryptology 6639:11–46.Crossref, Google Scholar
• Belavina E, Marinesi S, Tsoukalas G (2020) Rethinking crowdfunding platform design: mechanisms to deter misconduct and improve efficiency. Management Sci. 66(11):4980–4997.Link, Google Scholar
• Ben-Or M, Goldwasser S, Wigderson A (1988) Completeness theorems for non-cryptographic fault-tolerant distributed computation. ACM Sympos. Theory Comput. (STOC) (ACM, New York), 1–10.Crossref, Google Scholar
• Bendlin R, Damga˚rd I, Orlandi C, Zakarias S (2011) Semi-homomorphic encryption and multiparty computation. EUROCRYPT 11:169–188.Google Scholar
• Bernard B, Capponi A, Stiglitz JE (2022) Bail-ins and bail-outs: Incentives, connectivity, and systemic stability. J. Political Econom. Forthcoming.Crossref, Google Scholar
• Bertschinger N, Hoefer M, Schmand D (2019) Strategic payments in financial networks. Preprint, submitted September 9, https://arxiv.org/abs/1908.01714.Google Scholar
• Bestavros A, Lapets A, Varia M (2017) User-centric distributed solutions for privacy-preserving analytics. Comm. ACM 60(2):37–39.Crossref, Google Scholar
• Biais B, Bisiere C, Bouvard M, Casamatta C (2019) The blockchain folk theorem. Rev. Financial Stud. 32(5):1662–1715.Crossref, Google Scholar
• Billner A, Bronner E, Chrysoloras N, Comfort N, Donaldson K, Eglitis A, Seputyte M, et al. (2015) Huge Pools of Dirty Money Are Europe’s Worst-Kept Banking Secret (Bloomberg Businessweek).Google Scholar
• Blom F, Bouman NJ, Schoenmakers B, de Vreede N (2021) Efficient secure ridge regression from randomized Gaussian elimination. Dolev S, Margalit O, Pinkas B, Schwarzmann A, eds. Cyber Security Cryptography and Machine Learning, CSCML 2021, Lecture Notes in Computer Science, vol. 12716 (Springer, Cham, Switzerland).Google Scholar
• Blume L, Easley D, Kleinberg J, Kleinberg R, Tardos E (2011) Which networks are least susceptible to cascading failures? Annual Sympos. Foundations Comput. Sci. (FOCS) (IEEE, New York), 393–402.Google Scholar
• Bo L, Capponi A (2015) Systemic risk in interbanking networks. SIAM J. Financial Math. 6(1):386–424.Crossref, Google Scholar
• Bogdanov D, Jõemets M, Siim S, Vaht M (2015) How the Estonian tax and customs board evaluated a tax fraud detection system based on secure multi-party computation. Böhme R, Okamoto T, eds. Financial Cryptography and Data Security, FC 2015, Lecture Notes in Computer Science, vol. 8975 (Springer, Berlin).Google Scholar
• Bogdanov D, Jõemets M, Siim S, Vaht M (2016) Privacy-preserving tax fraud detection in the cloud with realistic data volumes. Technical report T-4-24, Cybernetica AS.Google Scholar
• Boyle E, Chung K-M, Pass R (2015) Large-scale secure computation: Multi-party computation for (parallel) RAM programs. Proc. Annual Cryptology Conf. (Springer, Berlin), 742–762.Google Scholar
• Brioschi F, Buzzacchi L, Colombo MG (1989) Risk capital financing and the separation of ownership and control in business groups. J. Bank. Finance 13(4-5):747–772.Crossref, Google Scholar
• Brownlees C, Hans C, Nualart E (2021) Bank credit risk networks: Evidence from the eurozone. J. Monetary Econom. 117:585–599.Crossref, Google Scholar
• Brunnermeier MK, Pedersen LH (2005) Predatory trading. J. Finance 60(4):1825–1863.Crossref, Google Scholar
• Caballero RJ, Simsek A (2013) Fire sales in a model of complexity. J. Finance 68(6):2549–2587.Crossref, Google Scholar
• Cai N, Kou S (2019) Econometrics with privacy preservation. Oper. Res. 67(4):905–926.Abstract, Google Scholar
• Capponi A, Chen P-C, Yao DD (2016) Liability concentration and systemic losses in financial networks. Oper. Res. 64(5):1121–1134.Link, Google Scholar
• Capponi A, Sun X, Yao DD (2020) A dynamic network model of interbank lending:systemic risk and liquidity provisioning. Math. Oper. Res. 45(3):1127–1152.Link, Google Scholar
• Chaum D, Crépeau C, Damga˚rd I (1988) Proc. 20th Annual ACM Sympos. Theory Comput. (STOC ’88) (Association for Computing Machinery, New York), 11–19.Google Scholar
• Chod J, Lyandres E (2021) A theory of ICOS: Diversification, agency, and information asymmetry. Management Sci. 67(10):5969–5989.Link, Google Scholar
• Chod J, Trichakis N, Tsoukalas G, Aspegren H, Weber M (2020) On the financing benefits of supply chain transparency and blockchain adoption. Management Sci. 66(10):4378–4396.Link, Google Scholar
• Cimini G, Squartini T, Garlaschelli D, Gabrielli A (2015) Systemic risk analysis on reconstructed economic and financial networks. Sci. Rep. 5(1):1–12.Crossref, Google Scholar
• Cong LW, Li Y, Wang N (2021) Tokenomics: Dynamic adoption and valuation. Rev. Financial Stud. 34(3):1105–1155.Crossref, Google Scholar
• Damga˚rd I, Pastro V, Smart N, Zakarias S (2012) Multiparty computation from somewhat homomorphic encryption. Safavi-Naini R, Canetti R, eds. Advances in Cryptology, CRYPTO 2012, Lecture Notes in Computer Science, vol. 7417 (Springer, Berlin).Google Scholar
• DFAST (2019) Dodd-Frank Act stress tests (DFAST). https://www.fhfa.gov/SupervisionRegulation/DoddFrankActStressTests.Google Scholar
• Dodd-Frank (2010) Dodd-Frank wall street reform and consumer protection act. H.R.4173 – 111th Congress (2009–2010). http://www.congress.gov/.Google Scholar
• Eisenberg L, Noe TH (2001) Systemic risk in financial systems. Management Sci. 47(2):236–249.Link, Google Scholar
• Elliott M, Golub B, Jackson MO (2014) Financial networks and contagion. Amer. Econom. Rev. 104(10):3115–3153.Crossref, Google Scholar
• Fedenia M, Hodder JE, Triantis AJ (1994) Cross-holdings: Estimation issues, biases, and distortions. Rev. Financial Stud. 7(1):61–96.Crossref, Google Scholar
• Feinstein Z, Sojmark A (2019) A dynamic default contagion model: From Eisenberg-Noe to the mean field. Preprint, submitted December 18, https://arxiv.org/abs/1912.08695.Google Scholar
• Feinstein Z, Pang W, Rudloff B, Schaanning E, Sturm S, Wildman M (2018) Sensitivity of the Eisenberg-Noe clearing vector to individual interbank liabilities. SIAM J. Financial Math. 9(4):1286–1325.Crossref, Google Scholar
• Financial Stability Board (2020) The Use of Supervisory and Regulatory Technology by Authorities and Regulated Institutions: Market Developments and Financial Stability Implications (Financial Stability Board).Google Scholar
• FSB (2020) G20 Data Gaps Initiative (DGI-2): The Fifth Progress Report: Countdown to 2021 in Light of Covid-19 (The Financial Crisis and Information Gaps).Google Scholar
• Gai P, Kapadia S (2010) Contagion in financial networks. Proc. Royal Soc. A Math. Physical Engrg. Sci. 466(2120) 2401–2423.Crossref, Google Scholar
• Gan J, Tsoukalas G, Netessine S (2021) Initial coin offerings, speculation, and asset tokenization. Management Sci. 67(2):914–931.Link, Google Scholar
• Garg S, Gupta D, Miao P, Pandey O (2016) Secure multiparty RAM computation in constant rounds. Proc. Theory of Cryptography Conf. (Springer, Berlin), 491–520.Google Scholar
• Glasserman P, Young HP (2015) How likely is contagion in financial networks? J. Bank. Finance 50:383–399.Crossref, Google Scholar
• Goldreich O (2007) Foundations of cryptography: Vol. 1, Basic Tools (Cambridge University Press, Cambridge, UK).Google Scholar
• Goldreich O, Micali S, Wigderson A (1987) How to play any mental game. Proc. 19th Annual ACM Sympos. Theory Comput. (STOC ’87) (Association for Computing Machinery, New York), 218–229.Google Scholar
• Gouriéroux C, Héam JC, Monfort A (2012) Bilateral exposures and systemic solvency risk expositions. Canadian J. Econom. 45(4):1273–1309.Crossref, Google Scholar
• Hastings M, Hemenway B, Noble D, Zdancewic S (2019) SoK: General purpose compilers for secure multi-party computation. 2019 IEEE Sympos. Security Privacy (SP), 1220–1237.Google Scholar
• Hemenway B, Khanna S (2016) Sensitivity and computational complexity in financial networks. Algorithmic Finance 5(3-4):95–110.Crossref, Google Scholar
• Hinzen FJ, John K, Saleh F (2019) Bitcoin’s Fatal Flaw: The Limited Adoption Problem (NYU Stern School of Business, New York).Google Scholar
• Hirahara S, Oliveira IC, Santhanam R (2018) NP-hardness of minimum circuit size problem for OR-AND-MOD circuits. Proc. 33rd Comput. Complexity Conf. (CCC ’18) (Schloss Dagstuhl–Leibniz-Zentrum fuer Informatik, Dagstuhl, DEU, Wadern, Germany), 1–31.Google Scholar
• Jackson MO, Pernoud A (2019) What makes financial networks special? Distorted investment incentives, regulation, and systemic risk measurement. Unpublished working paper.Google Scholar
• Kamm L, Bogdanov D, Laur S, Vilo J (2013) A new way to protect privacy in large-scale genome-wide association studies. Bioinformatics 29(7):886–893.Crossref, Google Scholar
• Kreuter B, Shelat A, Shen CH (2012) Billion-gate secure computation with malicious adversaries, 285–300. https://eprint.iacr.org/2012/179.Google Scholar
• Lapets A, Jansen F, Albab KD, Issa R, Qin L, Varia M, Bestavros A (2018) Accessible privacy-preserving web-based data analysis for assessing and addressing economic inequalities. Proc. 1st ACM SIGCAS Conf. on Comput. and Sustainable Societies (ACM, New York), 48.Google Scholar
• Leitner Y (2005) Financial networks: Contagion, commitment, and private sector bailouts. J. Finance 60(6):2925–2953.Crossref, Google Scholar
• Liu C, Huang Y, Shi E, Katz J, Hicks M (2014) Automating efficient RAM-model secure computation. Proc. IEEE Sympos. on Security and Privacy (IEEE, New York), 623–638.Google Scholar
• Lo A (2016) The New International Financial System: Analyzing the Cumulative Impact of Regulatory Reform, vol. 48 (World Scientific).Google Scholar
• Lu S, Ostrovsky R (2013) How to garble RAM programs? Proc. EUROCRYPT (Springer, Berlin), 719–734.Google Scholar
• Mitchell JC, Zimmerman J (2014) Data-Oblivious Data Structures (Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik).Google Scholar
• Morris S (2000) Contagion. Rev. Econom. Stud. 67(1):57–78.Crossref, Google Scholar
• Narayan A, Papadimitriou A, Haeberlen A (2014) Compute globally, act locally: Protecting federated systems from systemic threats. Proc. 10th Workshop on Hot Topics in System Dependability.Google Scholar
• Nielsen JB, Nordholt PS, Orlandi C, Burra SS (2012) A new approach to practical active-secure two-party computation. Proc. CRYPTO (Springer, Berlin), 681–700.Google Scholar
• OECD (2019) Enhancing access to and sharing of data. https://www.oecd-ilibrary.org/content/publication/276aaca8-en.Google Scholar
• Poledna S, Thurner S (2016) Elimination of systemic risk in financial networks by means of a systemic risk transaction tax. Quant. Finance 16(10):1599–1613.Crossref, Google Scholar
• RenProject (2021) Ren darknode dashboard. https://darknodes.online/.Google Scholar
• Rogers LC, Veraart LA (2013) Failure and rescue in an interbank network. Management Sci. 59(4):882–898.Link, Google Scholar
• Sanger D, Perlroth N, Barnes J (2021) As understanding of Russian hacking grows, so does alarm. New York Times. https://www.nytimes.com/2021/01/02/us/politics/russian-hacking-government.html.Google Scholar
• Schoenmakers B (2019) MPyC: Secure multiparty computation in Python. Accessed September 15, 2022, https://github.com/lschoe/mpyc.Google Scholar
• Schwenkler G, Zheng H (2020) The network of firms implied by the news. Preprint, submitted June 7, https://dx.doi.org/10.2139/ssrn.3320859.Google Scholar
• Shiina Y (2019) G20 data gaps initiative (dgi) overview of the second phase of the g-20 dgi (dgi-2). Financial Stability Board, IFC Workshop on the use of financial accounts, co-organised with the Central Bank of the Republic of Turkey March 18–20, 2019, Istanbul, Turkey. Accessed October 19, 2022, https://www.bis.org/ifc/publ/ifcb51_03.pdf.Google Scholar
• The Economist (2014) Note to future self. The Economist. Accessed October 19, 2022, https://www.economist.com/science-and-technology/2014/11/19/note-to-future-self.Google Scholar
• Tissot B, Goksu E (2017) Monitoring systemic institutions for the analysis of micro-macro linkages and network effects. J. Math. Statist. Sci., 129–136. http://www.ss-pub.org/wp-content/uploads/2018/04/JMSS17082201.pdf.Google Scholar
• Tsoukalas G, Falk BH (2020) Token-weighted crowdsourcing. Management Sci. 66(9):3843–3859.Link, Google Scholar
• Tsoukalas G, Marinesi S, Babich V (2019) Updating the crowdfunding narrative. Wharton Public Policy Initiative Issue Briefs, 65. https://repository.upenn.edu/pennwhartonppi/65.Google Scholar
• Wang X, Malozemoff AJ, Katz J (2016) EMP-toolkit: Efficient multiparty computation toolkit. https://github.com/emp-toolkit.Google Scholar
• Wang X, Ranellucci S, Katz J (2017) Global-scale secure multiparty computation. Proc. ACM SIGSAC Conf. on Comput. and Comm. Security (ACM, New York), 39–56.Google Scholar
• Wells SJ (2004) Financial interlinkages in the United Kingdom’s interbank market and the risk of contagion. Technical report, Bank of England, United Kingdom.Google Scholar
• World Economic Forum (2019) The next generation of data-sharing in financial services: Using privacy enhancing techniques to unlock new value. White Paper, https://www2.deloitte.com/content/dam/Deloitte/lu/Documents/financial-services/lu-next-generation-data-sharinging-financial-services.pdf.Google Scholar
• Yao AC (1982) Protocols for secure computations. 23rd Annual Sympos. Foundations Comput. Sci. (FOCS), 160–164.Google Scholar
• Yao AC (1986) How to generate and exchange secrets. Proc. 27th Annual Sympos. Foundations Comput. Sci., 162–167.Google Scholar