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ORCIDClark W. Barrett
Person information
- affiliation: Stanford University, Computer Science Department, CA, USA
- affiliation: New York University, Department of Computer Science, NY, USA
- affiliation: Stanford University, Computer Systems Laboratory, CA, USA
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2020 – today
- 2024
[c150]Pei Huang, Haoze Wu, Yuting Yang, Ieva Daukantas, Min Wu, Yedi Zhang, Clark W. Barrett:
Towards Efficient Verification of Quantized Neural Networks. AAAI 2024: 21152-21160- [c149]Alex Ozdemir, Shankara Pailoor, Alp Bassa, Kostas Ferles, Clark W. Barrett, Isil Dillig:
Split Gröbner Bases for Satisfiability Modulo Finite Fields. CAV (1) 2024: 3-25 - [c148]Haoze Wu, Omri Isac, Aleksandar Zeljic, Teruhiro Tagomori, Matthew L. Daggitt, Wen Kokke, Idan Refaeli, Guy Amir, Kyle Julian, Shahaf Bassan, Pei Huang, Ori Lahav, Min Wu, Min Zhang, Ekaterina Komendantskaya, Guy Katz, Clark W. Barrett:
Marabou 2.0: A Versatile Formal Analyzer of Neural Networks. CAV (2) 2024: 249-264 - [c147]Haoze Wu, Clark W. Barrett, Nina Narodytska:
Lemur: Integrating Large Language Models in Automated Program Verification. ICLR 2024 - [c146]Nestan Tsiskaridze
, Clark W. Barrett, Cesare Tinelli:
Generalized Optimization Modulo Theories. IJCAR (1) 2024: 458-479 - [c145]Reynald Affeldt, Clark W. Barrett, Alessandro Bruni, Ieva Daukantas, Harun Khan, Takafumi Saikawa, Carsten Schürmann:
Robust Mean Estimation by All Means (Short Paper). ITP 2024: 39:1-39:8 - [c144]Mudathir Mohamed, Andrew Reynolds, Cesare Tinelli, Clark W. Barrett:
Verifying SQL queries using theories of tables and relations. LPAR 2024: 445-463 - [c143]Hanna Lachnitt, Mathias Fleury, Leni Aniva, Andrew Reynolds, Haniel Barbosa, Andres Nötzli, Clark W. Barrett, Cesare Tinelli:
IsaRare: Automatic Verification of SMT Rewrites in Isabelle/HOL. TACAS (1) 2024: 311-330 - [i76]Haoze Wu, Omri Isac, Aleksandar Zeljic, Teruhiro Tagomori, Matthew L. Daggitt, Wen Kokke, Idan Refaeli, Guy Amir, Kyle Julian, Shahaf Bassan, Pei Huang, Ori Lahav, Min Wu, Min Zhang, Ekaterina Komendantskaya, Guy Katz, Clark W. Barrett:
Marabou 2.0: A Versatile Formal Analyzer of Neural Networks. CoRR abs/2401.14461 (2024) - [i75]Nestan Tsiskaridze, Clark W. Barrett, Cesare Tinelli:
Generalized Optimization Modulo Theories. CoRR abs/2404.16122 (2024) - [i74]Scott Viteri, Max Lamparth, Peter Chatain, Clark W. Barrett:
Markovian Agents for Truthful Language Modeling. CoRR abs/2404.18988 (2024) - [i73]Mudathir Mohamed, Andrew Reynolds, Cesare Tinelli, Clark W. Barrett:
Verifying SQL Queries using Theories of Tables and Relations. CoRR abs/2405.03057 (2024) - [i72]Ross Daly, Caleb Donovick, Caleb Terrill, Jackson Melchert, Priyanka Raina, Clark W. Barrett, Pat Hanrahan:
Efficiently Synthesizing Lowest Cost Rewrite Rules for Instruction Selection. CoRR abs/2405.06127 (2024) - [i71]David Dalrymple, Joar Skalse, Yoshua Bengio, Stuart Russell, Max Tegmark, Sanjit Seshia, Steve Omohundro, Christian Szegedy, Ben Goldhaber, Nora Ammann, Alessandro Abate, Joe Halpern, Clark W. Barrett, Ding Zhao, Tan Zhi-Xuan, Jeannette Wing, Joshua B. Tenenbaum:
Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems. CoRR abs/2405.06624 (2024) - [i70]Udayan Mandal, Guy Amir, Haoze Wu, Ieva Daukantas, Fletcher Lee Newell, Umberto J. Ravaioli, Baoluo Meng, Michael Durling, Milan Ganai, Tobey Shim, Guy Katz, Clark W. Barrett:
Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier Certificates. CoRR abs/2405.14058 (2024) - [i69]Benjamin Przybocki, Guilherme Vicentin de Toledo, Yoni Zohar, Clark W. Barrett:
The nonexistence of unicorns and many-sorted Löwenheim-Skolem theorems. CoRR abs/2406.18912 (2024) - [i68]Udayan Mandal, Guy Amir, Haoze Wu, Ieva Daukantas, Fletcher Lee Newell, Umberto J. Ravaioli, Baoluo Meng, Michael Durling, Kerianne Hobbs, Milan Ganai, Tobey Shim, Guy Katz, Clark W. Barrett:
Safe and Reliable Training of Learning-Based Aerospace Controllers. CoRR abs/2407.07088 (2024) - [i67]Alex Ozdemir, Shankara Pailoor, Alp Bassa, Kostas Ferles, Clark W. Barrett, Isil Dillig:
Split Gröbner Bases for Satisfiability Modulo Finite Fields. IACR Cryptol. ePrint Arch. 2024: 572 (2024) - 2023
- [j31]Haniel Barbosa, Clark W. Barrett, Byron Cook, Bruno Dutertre, Gereon Kremer, Hanna Lachnitt, Aina Niemetz, Andres Nötzli, Alex Ozdemir, Mathias Preiner, Andrew Reynolds, Cesare Tinelli, Yoni Zohar:
Generating and Exploiting Automated Reasoning Proof Certificates. Commun. ACM 66(10): 86-95 (2023) - [j30]Clark W. Barrett, Brad Boyd, Elie Bursztein, Nicholas Carlini, Brad Chen, Jihye Choi, Amrita Roy Chowdhury, Mihai Christodorescu, Anupam Datta, Soheil Feizi, Kathleen Fisher, Tatsunori Hashimoto, Dan Hendrycks, Somesh Jha, Daniel Kang, Florian Kerschbaum, Eric Mitchell, John C. Mitchell, Zulfikar Ramzan, Khawaja Shams, Dawn Song, Ankur Taly, Diyi Yang:
Identifying and Mitigating the Security Risks of Generative AI. Found. Trends Priv. Secur. 6(1): 1-52 (2023) - [j29]Alessandro Abate, Haniel Barbosa, Clark W. Barrett, Cristina David, Pascal Kesseli, Daniel Kroening, Elizabeth Polgreen, Andrew Reynolds, Cesare Tinelli:
Synthesising Programs with Non-trivial Constants. J. Autom. Reason. 67(2): 19 (2023) - [j28]Ying Sheng, Andres Nötzli, Andrew Reynolds, Yoni Zohar, David L. Dill, Wolfgang Grieskamp, Junkil Park, Shaz Qadeer, Clark W. Barrett, Cesare Tinelli:
Reasoning About Vectors: Satisfiability Modulo a Theory of Sequences. J. Autom. Reason. 67(3): 32 (2023) - [j27]Ying Sheng, Yoni Zohar, Christophe Ringeissen, Andrew Reynolds, Clark W. Barrett, Cesare Tinelli:
Combining Stable Infiniteness and (Strong) Politeness. J. Autom. Reason. 67(4): 34 (2023) - [j26]Christopher A. Strong, Haoze Wu, Aleksandar Zeljic, Kyle D. Julian, Guy Katz, Clark W. Barrett, Mykel J. Kochenderfer:
Global optimization of objective functions represented by ReLU networks. Mach. Learn. 112(10): 3685-3712 (2023) - [j25]Kalhan Koul, Jackson Melchert, Kavya Sreedhar, Leonard Truong, Gedeon Nyengele, Keyi Zhang, Qiaoyi Liu, Jeff Setter, Po-Han Chen, Yuchen Mei, Maxwell Strange, Ross Daly, Caleb Donovick, Alex Carsello, Taeyoung Kong, Kathleen Feng, Dillon Huff, Ankita Nayak, Rajsekhar Setaluri, James Thomas, Nikhil Bhagdikar, David Durst, Zachary Myers, Nestan Tsiskaridze, Stephen Richardson, Rick Bahr, Kayvon Fatahalian, Pat Hanrahan, Clark W. Barrett, Mark Horowitz, Christopher Torng, Fredrik Kjolstad, Priyanka Raina:
AHA: An Agile Approach to the Design of Coarse-Grained Reconfigurable Accelerators and Compilers. ACM Trans. Embed. Comput. Syst. 22(2): 35:1-35:34 (2023) - [c142]Dennis Wei, Haoze Wu, Min Wu, Pin-Yu Chen, Clark W. Barrett, Eitan Farchi:
Convex Bounds on the Softmax Function with Applications to Robustness Verification. AISTATS 2023: 6853-6878 - [c141]Jackson Melchert, Kathleen Feng, Caleb Donovick, Ross Daly, Ritvik Sharma, Clark W. Barrett, Mark A. Horowitz, Pat Hanrahan, Priyanka Raina:
APEX: A Framework for Automated Processing Element Design Space Exploration using Frequent Subgraph Analysis. ASPLOS (3) 2023: 33-45 - [c140]Guilherme Vicentin de Toledo, Yoni Zohar, Clark W. Barrett:
Combining Combination Properties: An Analysis of Stable Infiniteness, Convexity, and Politeness. CADE 2023: 522-541 - [c139]Alex Ozdemir, Riad S. Wahby, Fraser Brown, Clark W. Barrett:
Bounded Verification for Finite-Field-Blasting - In a Compiler for Zero Knowledge Proofs. CAV (3) 2023: 154-175 - [c138]Alex Ozdemir, Gereon Kremer, Cesare Tinelli, Clark W. Barrett:
Satisfiability Modulo Finite Fields. CAV (2) 2023: 163-186 - [c137]Omri Isac, Yoni Zohar, Clark W. Barrett, Guy Katz:
DNN Verification, Reachability, and the Exponential Function Problem. CONCUR 2023: 26:1-26:18 - [c136]Saranyu Chattopadhyay, Keerthikumara Devarajegowda, Bihan Zhao, Florian Lonsing, Brandon A. D'Agostino, Ioanna Vavelidou, Vijay Deep Bhatt, Sebastian Prebeck, Wolfgang Ecker, Caroline Trippel, Clark W. Barrett, Subhasish Mitra:
G-QED: Generalized QED Pre-silicon Verification beyond Non-Interfering Hardware Accelerators. DAC 2023: 1-6 - [c135]Haoze Wu, Christopher Hahn, Florian Lonsing, Makai Mann, Raghuram Ramanujan, Clark W. Barrett:
Lightweight Online Learning for Sets of Related Problems in Automated Reasoning. FMCAD 2023: 1-11 - [c134]Abdalrhman Mohamed, Andrew Reynolds, Clark W. Barrett, Cesare Tinelli:
A Procedure for SyGuS Solution Fitting via Matching and Rewrite Rule Discovery. FMCAD 2023: 189-198 - [c133]Amalee Wilson, Andres Nötzli, Andrew Reynolds, Byron Cook, Cesare Tinelli, Clark W. Barrett:
Partitioning Strategies for Distributed SMT Solving. FMCAD 2023: 199-208 - [c132]Burak Ekici, Arjun Viswanathan, Yoni Zohar, Cesare Tinelli, Clark W. Barrett:
Formal Verification of Bit-Vector Invertibility Conditions in Coq. FroCoS 2023: 41-59 - [c131]Guilherme Vicentin de Toledo, Yoni Zohar, Clark W. Barrett:
Combining Finite Combination Properties: Finite Models and Busy Beavers. FroCoS 2023: 159-175 - [c130]Haoze Wu, Min Wu, Dorsa Sadigh, Clark W. Barrett:
Soy: An Efficient MILP Solver for Piecewise-Affine Systems. IROS 2023: 6281-6288 - [c129]Haniel Barbosa, Chantal Keller, Andrew Reynolds, Arjun Viswanathan, Cesare Tinelli, Clark W. Barrett:
An Interactive SMT Tactic in Coq using Abductive Reasoning. LPAR 2023: 11-22 - [c128]Elazar Cohen, Yizhak Yisrael Elboher, Clark W. Barrett, Guy Katz:
Tighter Abstract Queries in Neural Network Verification. LPAR 2023: 124-143 - [c127]Min Wu, Haoze Wu, Clark W. Barrett:
VeriX: Towards Verified Explainability of Deep Neural Networks. NeurIPS 2023 - [c126]Zhenyu Zhang, Ying Sheng, Tianyi Zhou, Tianlong Chen, Lianmin Zheng, Ruisi Cai, Zhao Song, Yuandong Tian, Christopher Ré, Clark W. Barrett, Zhangyang Wang, Beidi Chen:
H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models. NeurIPS 2023 - [c125]Banghua Zhu, Ying Sheng, Lianmin Zheng, Clark W. Barrett, Michael I. Jordan, Jiantao Jiao:
Towards Optimal Caching and Model Selection for Large Model Inference. NeurIPS 2023 - [c124]Haoze Wu, Teruhiro Tagomori, Alexander Robey, Fengjun Yang, Nikolai Matni, George J. Pappas, Hamed Hassani, Corina S. Pasareanu, Clark W. Barrett:
Toward Certified Robustness Against Real-World Distribution Shifts. SaTML 2023: 537-553 - [c123]Hanna Lachnitt, Mathias Fleury, Leni Aniva, Andrew Reynolds, Haniel Barbosa, Andres Nötzli, Clark W. Barrett, Cesare Tinelli:
Automatic Verification of SMT Rewrites in Isabelle/HOL. SMT 2023: 78 - [i66]Dennis Wei, Haoze Wu, Min Wu, Pin-Yu Chen, Clark W. Barrett, Eitan Farchi:
Convex Bounds on the Softmax Function with Applications to Robustness Verification. CoRR abs/2303.01713 (2023) - [i65]Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Daniel Y. Fu, Zhiqiang Xie, Beidi Chen, Clark W. Barrett, Joseph E. Gonzalez, Percy Liang, Christopher Ré, Ion Stoica, Ce Zhang:
High-throughput Generative Inference of Large Language Models with a Single GPU. CoRR abs/2303.06865 (2023) - [i64]Haoze Wu, Min Wu, Dorsa Sadigh, Clark W. Barrett:
Soy: An Efficient MILP Solver for Piecewise-Affine Systems. CoRR abs/2303.13697 (2023) - [i63]Guilherme Vicentin de Toledo, Yoni Zohar, Clark W. Barrett:
Combining Combination Properties: An Analysis of Stable Infiniteness, Convexity, and Politeness. CoRR abs/2305.02384 (2023) - [i62]Omri Isac, Yoni Zohar, Clark W. Barrett, Guy Katz:
DNN Verification, Reachability, and the Exponential Function Problem. CoRR abs/2305.06064 (2023) - [i61]Haoze Wu, Christopher Hahn, Florian Lonsing, Makai Mann, Raghuram Ramanujan, Clark W. Barrett:
Lightweight Online Learning for Sets of Related Problems in Automated Reasoning. CoRR abs/2305.11087 (2023) - [i60]Banghua Zhu, Ying Sheng, Lianmin Zheng, Clark W. Barrett, Michael I. Jordan, Jiantao Jiao:
On Optimal Caching and Model Multiplexing for Large Model Inference. CoRR abs/2306.02003 (2023) - [i59]Amalee Wilson, Andres Nötzli, Andrew Reynolds, Byron Cook, Cesare Tinelli, Clark W. Barrett:
Partitioning Strategies for Distributed SMT Solving. CoRR abs/2306.05854 (2023) - [i58]Zhenyu Zhang, Ying Sheng, Tianyi Zhou, Tianlong Chen, Lianmin Zheng, Ruisi Cai, Zhao Song, Yuandong Tian, Christopher Ré, Clark W. Barrett, Zhangyang Wang, Beidi Chen:
H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models. CoRR abs/2306.14048 (2023) - [i57]Guilherme Vicentin de Toledo, Yoni Zohar, Clark W. Barrett:
Combining Finite Combination Properties: Finite Models and Busy Beavers. CoRR abs/2307.07885 (2023) - [i56]Caleb Donovick, Ross Daly, Jackson Melchert, Lenny Truong, Priyanka Raina, Pat Hanrahan, Clark W. Barrett:
PEak: A Single Source of Truth for Hardware Design and Verification. CoRR abs/2308.13106 (2023) - [i55]Clark W. Barrett, Brad Boyd, Ellie Burzstein, Nicholas Carlini, Brad Chen, Jihye Choi, Amrita Roy Chowdhury, Mihai Christodorescu, Anupam Datta, Soheil Feizi, Kathleen Fisher, Tatsunori Hashimoto, Dan Hendrycks, Somesh Jha, Daniel Kang, Florian Kerschbaum, Eric Mitchell, John C. Mitchell, Zulfikar Ramzan, Khawaja Shams, Dawn Song, Ankur Taly, Diyi Yang:
Identifying and Mitigating the Security Risks of Generative AI. CoRR abs/2308.14840 (2023) - [i54]Haoze Wu, Clark W. Barrett, Nina Narodytska:
Lemur: Integrating Large Language Models in Automated Program Verification. CoRR abs/2310.04870 (2023) - [i53]Chuyue Sun, Ying Sheng, Oded Padon, Clark W. Barrett:
Clover: Closed-Loop Verifiable Code Generation. CoRR abs/2310.17807 (2023) - [i52]Lianmin Zheng, Liangsheng Yin, Zhiqiang Xie, Jeff Huang, Chuyue Sun, Cody Hao Yu, Shiyi Cao, Christos Kozyrakis, Ion Stoica, Joseph E. Gonzalez, Clark W. Barrett, Ying Sheng:
Efficiently Programming Large Language Models using SGLang. CoRR abs/2312.07104 (2023) - [i51]Pei Huang, Haoze Wu, Yuting Yang, Ieva Daukantas, Min Wu, Yedi Zhang, Clark W. Barrett:
Towards Efficient Verification of Quantized Neural Networks. CoRR abs/2312.12679 (2023) - [i50]Alex Ozdemir, Gereon Kremer, Cesare Tinelli, Clark W. Barrett:
Satisfiability Modulo Finite Fields. IACR Cryptol. ePrint Arch. 2023: 91 (2023) - [i49]Alex Ozdemir, Riad S. Wahby, Fraser Brown, Clark W. Barrett:
Bounded Verification for Finite-Field-Blasting (In a Compiler for Zero Knowledge Proofs). IACR Cryptol. ePrint Arch. 2023: 778 (2023) - 2022
- [j24]Guy Katz, Clark W. Barrett, David L. Dill, Kyle Julian, Mykel J. Kochenderfer:
Reluplex: a calculus for reasoning about deep neural networks. Formal Methods Syst. Des. 60(1): 87-116 (2022) - [j23]Ying Sheng, Yoni Zohar, Christophe Ringeissen, Jane Lange, Pascal Fontaine, Clark W. Barrett:
Polite Combination of Algebraic Datatypes. J. Autom. Reason. 66(3): 331-355 (2022) - [j22]Makai Mann, Ahmed Irfan, Alberto Griggio, Oded Padon, Clark W. Barrett:
Counterexample-Guided Prophecy for Model Checking Modulo the Theory of Arrays. Log. Methods Comput. Sci. 18(3) (2022) - [j21]Haoze Wu, Clark W. Barrett, Mahmood Sharif, Nina Narodytska, Gagandeep Singh:
Scalable verification of GNN-based job schedulers. Proc. ACM Program. Lang. 6(OOPSLA2): 1036-1065 (2022) - [c122]Matan Ostrovsky, Clark W. Barrett, Guy Katz:
An Abstraction-Refinement Approach to Verifying Convolutional Neural Networks. ATVA 2022: 391-396 - [c121]Haniel Barbosa, Andrew Reynolds, Gereon Kremer, Hanna Lachnitt, Aina Niemetz, Andres Nötzli, Alex Ozdemir, Mathias Preiner, Arjun Viswanathan, Scott Viteri, Yoni Zohar, Cesare Tinelli, Clark W. Barrett:
Flexible Proof Production in an Industrial-Strength SMT Solver. IJCAR 2022: 15-35 - [c120]Gereon Kremer, Andrew Reynolds, Clark W. Barrett, Cesare Tinelli:
Cooperating Techniques for Solving Nonlinear Real Arithmetic in the cvc5 SMT Solver (System Description). IJCAR 2022: 95-105 - [c119]Ying Sheng, Andres Nötzli, Andrew Reynolds, Yoni Zohar, David L. Dill, Wolfgang Grieskamp, Junkil Park, Shaz Qadeer, Clark W. Barrett, Cesare Tinelli:
Reasoning About Vectors Using an SMT Theory of Sequences. IJCAR 2022: 125-143 - [c118]Aina Niemetz, Mathias Preiner, Clark W. Barrett:
Murxla: A Modular and Highly Extensible API Fuzzer for SMT Solvers. CAV (2) 2022: 92-106 - [c117]Andres Nötzli, Andrew Reynolds, Haniel Barbosa, Clark W. Barrett, Cesare Tinelli:
Even Faster Conflicts and Lazier Reductions for String Solvers. CAV (2) 2022: 205-226 - [c116]Tom Zelazny, Haoze Wu, Clark W. Barrett, Guy Katz:
On Optimizing Back-Substitution Methods for Neural Network Verification. FMCAD 2022: 17-26 - [c115]Omri Isac, Clark W. Barrett, Min Zhang, Guy Katz:
Neural Network Verification with Proof Production. FMCAD 2022: 38-48 - [c114]Andres Nötzli, Haniel Barbosa, Aina Niemetz, Mathias Preiner, Andrew Reynolds, Clark W. Barrett, Cesare Tinelli:
Reconstructing Fine-Grained Proofs of Rewrites Using a Domain-Specific Language. FMCAD 2022: 65-74 - [c113]Abhishek Anil Nair, Saranyu Chattopadhyay, Haoze Wu, Alex Ozdemir, Clark W. Barrett:
Proof-Stitch: Proof Combination for Divide-and-Conquer SAT Solvers. FMCAD 2022: 84-88 - [c112]Ross Daly, Caleb Donovick, Jackson Melchert, Rajsekhar Setaluri, Nestan Tsiskaridze, Priyanka Raina, Clark W. Barrett, Pat Hanrahan:
Synthesizing Instruction Selection Rewrite Rules from RTL using SMT. FMCAD 2022: 139-150 - [c111]Haoze Wu, Aleksandar Zeljic, Guy Katz, Clark W. Barrett:
Efficient Neural Network Analysis with Sum-of-Infeasibilities. TACAS (1) 2022: 143-163 - [c110]Haniel Barbosa, Clark W. Barrett, Martin Brain, Gereon Kremer, Hanna Lachnitt, Makai Mann, Abdalrhman Mohamed, Mudathir Mohamed, Aina Niemetz, Andres Nötzli, Alex Ozdemir, Mathias Preiner, Andrew Reynolds, Ying Sheng, Cesare Tinelli, Yoni Zohar:
cvc5: A Versatile and Industrial-Strength SMT Solver. TACAS (1) 2022: 415-442 - [c109]Yoni Zohar, Ahmed Irfan, Makai Mann, Aina Niemetz, Andres Nötzli, Mathias Preiner, Andrew Reynolds, Clark W. Barrett, Cesare Tinelli:
Bit-Precise Reasoning via Int-Blasting. VMCAI 2022: 496-518 - [i48]Matan Ostrovsky, Clark W. Barrett, Guy Katz:
An Abstraction-Refinement Approach to Verifying Convolutional Neural Networks. CoRR abs/2201.01978 (2022) - [i47]Haoze Wu, Clark W. Barrett, Mahmood Sharif, Nina Narodytska, Gagandeep Singh:
Scalable Verification of GNN-based Job Schedulers. CoRR abs/2203.03153 (2022) - [i46]Haoze Wu, Aleksandar Zeljic, Guy Katz, Clark W. Barrett:
Efficient Neural Network Analysis with Sum-of-Infeasibilities. CoRR abs/2203.11201 (2022) - [i45]Ying Sheng, Andres Nötzli, Andrew Reynolds, Yoni Zohar, David L. Dill, Wolfgang Grieskamp, Junkil Park, Shaz Qadeer, Clark W. Barrett, Cesare Tinelli:
Reasoning About Vectors using an SMT Theory of Sequences. CoRR abs/2205.08095 (2022) - [i44]Omri Isac, Clark W. Barrett, Min Zhang, Guy Katz:
Neural Network Verification with Proof Production. CoRR abs/2206.00512 (2022) - [i43]Haoze Wu, Teruhiro Tagomori, Alexander Robey, Fengjun Yang, Nikolai Matni, George J. Pappas, Hamed Hassani, Corina S. Pasareanu, Clark W. Barrett:
Toward Certified Robustness Against Real-World Distribution Shifts. CoRR abs/2206.03669 (2022) - [i42]Tom Zelazny, Haoze Wu, Clark W. Barrett, Guy Katz:
On Optimizing Back-Substitution Methods for Neural Network Verification. CoRR abs/2208.07669 (2022) - [i41]Abhishek Nair, Saranyu Chattopadhyay, Haoze Wu, Alex Ozdemir, Clark W. Barrett:
Proof-Stitch: Proof Combination for Divide and Conquer SAT Solvers. CoRR abs/2209.05201 (2022) - [i40]Elazar Cohen, Yizhak Yisrael Elboher, Clark W. Barrett, Guy Katz:
Tighter Abstract Queries in Neural Network Verification. CoRR abs/2210.12871 (2022) - [i39]Min Wu, Haoze Wu, Clark W. Barrett:
VeriX: Towards Verified Explainability of Deep Neural Networks. CoRR abs/2212.01051 (2022) - 2021
- [j20]Aina Niemetz, Mathias Preiner, Andrew Reynolds, Clark W. Barrett, Cesare Tinelli:
On solving quantified bit-vector constraints using invertibility conditions. Formal Methods Syst. Des. 57(1): 87-115 (2021) - [j19]Changliu Liu, Tomer Arnon, Christopher Lazarus, Christopher A. Strong, Clark W. Barrett, Mykel J. Kochenderfer:
Algorithms for Verifying Deep Neural Networks. Found. Trends Optim. 4(3-4): 244-404 (2021) - [j18]Aina Niemetz, Mathias Preiner, Andrew Reynolds, Yoni Zohar, Clark W. Barrett, Cesare Tinelli:
Towards Satisfiability Modulo Parametric Bit-vectors. J. Autom. Reason. 65(7): 1001-1025 (2021) - [c108]Ying Sheng, Yoni Zohar, Christophe Ringeissen, Andrew Reynolds, Clark W. Barrett, Cesare Tinelli:
Politeness and Stable Infiniteness: Stronger Together. CADE 2021: 148-165 - [c107]Makai Mann, Ahmed Irfan, Florian Lonsing, Yahan Yang, Hongce Zhang, Kristopher Brown, Aarti Gupta, Clark W. Barrett:
Pono: A Flexible and Extensible SMT-Based Model Checker. CAV (2) 2021: 461-474 - [c106]Saranyu Chattopadhyay, Florian Lonsing, Luca Piccolboni, Deepraj Soni, Peng Wei, Xiaofan Zhang, Yuan Zhou, Luca P. Carloni, Deming Chen, Jason Cong, Ramesh Karri, Zhiru Zhang, Caroline Trippel, Clark W. Barrett, Subhasish Mitra:
Scaling Up Hardware Accelerator Verification using A-QED with Functional Decomposition. FMCAD 2021: 42-52 - [c105]Nestan Tsiskaridze, Maxwell Strange, Makai Mann, Kavya Sreedhar, Qiaoyi Liu, Mark Horowitz, Clark W. Barrett:
Automating System Configuration. FMCAD 2021: 102-111 - [c104]Alex Ozdemir, Haoze Wu, Clark W. Barrett:
SAT Solving in the Serverless Cloud. FMCAD 2021: 241-245 - [c103]Ying Sheng, Yoni Zohar, Christophe Ringeissen, Jane Lange, Pascal Fontaine, Clark W. Barrett:
Politeness for the Theory of Algebraic Datatypes (Extended Abstract). IJCAI 2021: 4829-4833 - [c102]Colin Paterson, Haoze Wu, John Grese, Radu Calinescu, Corina S. Pasareanu, Clark W. Barrett:
DeepCert: Verification of Contextually Relevant Robustness for Neural Network Image Classifiers. SAFECOMP 2021: 3-17 - [c101]Makai Mann, Amalee Wilson, Yoni Zohar, Lindsey Stuntz, Ahmed Irfan, Kristopher Brown, Caleb Donovick, Allison Guman, Cesare Tinelli, Clark W. Barrett:
Smt-Switch: A Solver-Agnostic C++ API for SMT Solving. SAT 2021: 377-386 - [c100]Makai Mann, Ahmed Irfan, Alberto Griggio, Oded Padon, Clark W. Barrett:
Counterexample-Guided Prophecy for Model Checking Modulo the Theory of Arrays. TACAS (1) 2021: 113-132 - [c99]Aina Niemetz, Mathias Preiner, Andrew Reynolds, Clark W. Barrett, Cesare Tinelli:
Syntax-Guided Quantifier Instantiation. TACAS (2) 2021: 145-163 - [c98]Guy Amir, Haoze Wu, Clark W. Barrett, Guy Katz:
An SMT-Based Approach for Verifying Binarized Neural Networks. TACAS (2) 2021: 203-222 - [p3]Clark W. Barrett, Roberto Sebastiani, Sanjit A. Seshia, Cesare Tinelli:
Satisfiability Modulo Theories. Handbook of Satisfiability 2021: 1267-1329 - [i38]Makai Mann, Ahmed Irfan, Alberto Griggio, Oded Padon, Clark W. Barrett:
Counterexample-Guided Prophecy for Model Checking Modulo the Theory of Arrays. CoRR abs/2101.06825 (2021) - [i37]Colin Paterson, Haoze Wu, John Grese, Radu Calinescu, Corina S. Pasareanu, Clark W. Barrett:
DeepCert: Verification of Contextually Relevant Robustness for Neural Network Image Classifiers. CoRR abs/2103.01629 (2021) - [i36]Ying Sheng, Yoni Zohar, Christophe Ringeissen, Andrew Reynolds, Clark W. Barrett, Cesare Tinelli:
Politeness and Stable Infiniteness: Stronger Together. CoRR abs/2104.11738 (2021) - [i35]Jackson Melchert, Kathleen Feng, Caleb Donovick, Ross Daly, Clark W. Barrett, Mark Horowitz, Pat Hanrahan, Priyanka Raina:
Automated Design Space Exploration of CGRA Processing Element Architectures using Frequent Subgraph Analysis. CoRR abs/2104.14155 (2021) - [i34]Yoni Zohar, Ahmed Irfan, Makai Mann, Andres Nötzli, Andrew Reynolds, Clark W. Barrett:
lazybvtoint at the SMT Competition 2020. CoRR abs/2105.09743 (2021) - [i33]Karthik Ganesan, Florian Lonsing, Srinivasa Shashank Nuthakki, Eshan Singh, Mohammad Rahmani Fadiheh, Wolfgang Kunz, Dominik Stoffel, Clark W. Barrett, Subhasish Mitra:
Effective Pre-Silicon Verification of Processor Cores by Breaking the Bounds of Symbolic Quick Error Detection. CoRR abs/2106.10392 (2021