Conference Paper (82)

101.
Conference Paper
Triantafyllou, S.; Singla, A.; Radanovic, G.: On Blame Attribution for Accountable Multi-Agent Sequential Decision Making. In: Advances in Neural Information Processing Systems 34, pp. 15774 - 15786 (Eds. Ranzato, M.; Beygelzimer, A.; Liang, P. S.; Vaughan, J. W.; Dauphin, Y.). 35th Conference on Neural Information Processing Systems, Virtual, December 07, 2021. Curran Associates, Inc. (2021)
102.
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Vafeiadis, V.: The Challenges of Weak Persistency. In: 9th Conference on Algebra and Coalgebra in Computer Science, 4, pp. 1 - 3 (Eds. Gadducci, F.; Silva, A.). 9th Conference on Algebra and Coalgebra in Computer Science, Salzburg, Austria, August 31, 2021 - September 03, 2021. Schloss Dagstuhl, Wadern (2021)
103.
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von der Brüggen, G.; Piatkowski, N.; Chen, K.-H.; Chen, J.-J.; Morik, K.; Brandenburg, B.: Efficiently Approximating the Worst-Case Deadline Failure Probability under EDF. In: IEEE 42nd Real-Time Systems Symposium, pp. 214 - 226. IEEE 42nd Real-Time Systems Symposium , Dortmund, Germany (Virtual Conference), December 07, 2021 - December 10, 2021. IEEE, Piscataway, NJ (2021)
104.
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Wang, C.; Singla, A.; Chen, Y.: Teaching an Active Learner with Contrastive Examples. In: Advances in Neural Information Processing Systems 34, pp. 17968 - 17980 (Eds. Ranzato, M.; Beygelzimer, A.; Liang, P. S.; Vaughan, J. W.; Dauphin, Y.). 35th Conference on Neural Information Processing Systems, Virtual, December 07, 2021. Curran Associates, Inc. (2021)
105.
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Wesley, S.; Christakis, M.; Navas, J. A.; Trefler, R. J.; Wüstholz, V.; Gurfinkel, A.: Compositional Verification of Smart Contracts Through Communication Abstraction. In: Static Analysis, pp. 429 - 452 (Eds. Drăgoi, C.; Mukherjee, S.; Namjoshi, K.). 28th International Static Analysis Symposium, Chicago, IL, USA, October 17, 2021 - October 19, 2021. Springer, Berlin (2021)
106.
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Xu, Z.; Wu, B.; Ojha, A.; Neider, D.; Topcu, U.: Active Finite Reward Automaton Inference and Reinforcement Learning Using Queries and Counterexamples. In: Machine Learning and Knowledge Extraction, pp. 115 - 135 (Eds. Holzinger, A.; Kieseberg, P.; Tjoa, A. M.). 5th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning & Knowledge Extraction, Virtual Event, August 17, 2021 - August 20, 2021. Springer, Berlin (2021)
107.
Conference Paper
Yengera, G.; Devidze, R.; Kamalaruban, P.; Singla, A.: Curriculum Design for Teaching via Demonstrations. In: Advances in Neural Information Processing Systems 34, pp. 10496 - 10509 (Eds. Ranzato, M.; Beygelzimer, A.; Liang, P. S.; Vaughan, J. W.; Dauphin, Y.). 35th Conference on Neural Information Processing Systems, Virtual, December 07, 2021. Curran Associates, Inc. (2021)
108.
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Yong Wong, M.; Landen, M.; Antonakakis, M.; Blough, D. M.; Redmiles, E. M.; Ahamad, M.: An Inside Look into the Practice of Malware Analysis. In: CCS '21, pp. 3053 - 3069 (Eds. Kim, Y.; Kim, J.; Vigna, G.; Shi, E.; Kim, H. et al.). ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021 - November 19, 2021. ACM, New York, NY (2021)
109.
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Zetzsche, G.: Recent Advances on Reachability Problems for Valence Systems (Invited Talk). In: Reachability Problems, pp. 52 - 65 (Eds. Bell, P. C.; Totzke, P.; Potapov, I.). 5th International Conference on Reachability Problems, Liverpool, UK, October 25, 2021 - October 27, 2021. Springer, Berlin (2021)
110.
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Zhang, X.; Bharti, S.; Ma, Y.; Singla, A.; Zhu, X.: The Sample Complexity of Teaching by Reinforcement on Q-Learning. In: AAAI Technical Track on Machine Learning V, pp. 10939 - 10947. Thirty-Fifth AAAI Conference on Artificial Intelligence, Virtual, February 02, 2021 - February 09, 2021. AAAI, Palo Alto, CA (2021)

Thesis - PhD (1)

111.
Thesis - PhD
Babaei, M.: Information Consumption on Social Media. Dissertation, 127 pp., Universität des Saarlandes, Saarbrücken (2021)

Working Paper (9)

112.
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Alzayat, M. W. M.; Messias, J.; Chandrasekaran, B.; Gummadi, K.; Loiseau, P.: Modeling Coordinated vs. P2P Mining: An Analysis of Inefficiency and Inequality in Proof-of-Work Blockchains. (2021), 12 pp.
113.
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Banihashem, K.; Singla, A.; Radanovic, G.: Defense Against Reward Poisoning Attacks in Reinforcement Learning. (2021), 36 pp.
114.
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Eniser, H. F.; Christakis, M.; Wüstholz, V.: RAID: Randomized Adversarial-Input Detection for Neural Networks. (2021), 12 pp.
115.
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Lorch, L.; Kremer, H.; Trouleau, W.; Tsirtsis, S.; Szanto, A.; Schölkopf, B.; Gomez Rodriguez, M.: Quantifying the Effects of Contact Tracing, Testing, and Containment Measures in the Presence of Infection Hotspots. (2021), Statistical tests for overdispersion of secondary infections; contour plots for parameter estimation; corrected experimental results pp.
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Lut, Y.; Wang, M.; Redmiles, E. M.; Cummings, R.: How we browse: Measurement and analysis of digital behavior. (2021), 23 pp.
117.
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Rakhsha, A.; Zhang, X.; Zhu, X.; Singla, A.: Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments. (2021), 22 pp.
118.
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Schmuck, A.-K.; Zareian, M.: Abstraction-Based Output-Feedback Control with State-Based Specifications. (2021), 12 pp.
119.
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Tsirtsis, S.; De, A.; Gomez Rodriguez, M.: Counterfactual Explanations in Sequential Decision Making Under Uncertainty. (2021), 18 pp.
120.
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Tsirtsis, S.; De, A.; Lorch, L.; Gomez Rodriguez, M.: Group Testing under Superspreading Dynamics. (2021)
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