Susmit Jha

Orcid: 0000-0001-5983-9095

Affiliations:
  • SRI International, Menlo Park, CA, USA


According to our database1, Susmit Jha authored at least 113 papers between 2006 and 2024.

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Bibliography

2024
Exploring the Predictive Capabilities of AlphaFold Using Adversarial Protein Sequences.
IEEE Trans. Artif. Intell., July, 2024

Second-Order Forward-Mode Automatic Differentiation for Optimization.
CoRR, 2024

Calibration and Correctness of Language Models for Code.
CoRR, 2024

Concept-Based Analysis of Neural Networks via Vision-Language Models.
Proceedings of the AI Verification - First International Symposium, 2024

Task-Agnostic Detector for Insertion-Based Backdoor Attacks.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Neuro-symbolic Generative AI Assistant for System Design.
Proceedings of the 22nd ACM-IEEE International Symposium on Formal Methods and Models for System Design, 2024

Shrinking POMCP: A Framework for Real-Time UAV Search and Rescue.
Proceedings of the International Conference on Assured Autonomy, 2024

Solving Mystery Planning Problems Using Category Theory, Functors, and Large Language Models.
Proceedings of the International Conference on Assured Autonomy, 2024

On the Design of Novel Attention Mechanism for Enhanced Efficiency of Transformers.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

Direct Amortized Likelihood Ratio Estimation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Principled Out-of-Distribution Detection via Multiple Testing.
J. Mach. Learn. Res., 2023

math-PVS: A Large Language Model Framework to Map Scientific Publications to PVS Theories.
CoRR, 2023

Neuro Symbolic Reasoning for Planning: Counterexample Guided Inductive Synthesis using Large Language Models and Satisfiability Solving.
CoRR, 2023

Neural Stochastic Differential Equations for Robust and Explainable Analysis of Electromagnetic Unintended Radiated Emissions.
CoRR, 2023

AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs.
CoRR, 2023

Measuring Classification Decision Certainty and Doubt.
CoRR, 2023

On the Robustness of AlphaFold: A COVID-19 Case Study.
CoRR, 2023

AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Challenges and Opportunities in Neuro-Symbolic Composition of Foundation Models.
Proceedings of the IEEE Military Communications Conference, 2023

Counterexample Guided Inductive Synthesis Using Large Language Models and Satisfiability Solving.
Proceedings of the IEEE Military Communications Conference, 2023

Neural SDEs for Robust and Explainable Analysis of Electromagnetic Unintended Radiated Emissions.
Proceedings of the IEEE Military Communications Conference, 2023

Principled OOD Detection via Multiple Testing.
Proceedings of the IEEE International Symposium on Information Theory, 2023

TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CODiT: Conformal Out-of-Distribution Detection in Time-Series Data for Cyber-Physical Systems.
Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems, 2023

Detecting Trojaned DNNs Using Counterfactual Attributions.
Proceedings of the IEEE International Conference on Assured Autonomy, 2023

Predicting Out-of-Distribution Performance of Deep Neural Networks Using Model Conformance.
Proceedings of the IEEE International Conference on Assured Autonomy, 2023

Dehallucinating Large Language Models Using Formal Methods Guided Iterative Prompting.
Proceedings of the IEEE International Conference on Assured Autonomy, 2023

Lightning Talk: Trinity - Assured Neuro-symbolic Model Inspired by Hierarchical Predictive Coding.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022
Introduction to the Special Issue on Artificial Intelligence and Cyber-Physical Systems - Part 2.
ACM Trans. Cyber Phys. Syst., 2022

Design of Unmanned Air Vehicles Using Transformer Surrogate Models.
CoRR, 2022

CODiT: Conformal Out-of-Distribution Detection in Time-Series Data.
CoRR, 2022

Multiple Testing Framework for Out-of-Distribution Detection.
CoRR, 2022

Principal Manifold Flows.
CoRR, 2022

Detecting out-of-context objects using contextual cues.
CoRR, 2022

Context-aware Collaborative Neuro-Symbolic Inference in IoBTs.
Proceedings of the IEEE Military Communications Conference, 2022

Detecting Out-Of-Context Objects Using Graph Contextual Reasoning Network.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

ExplainIt!: A Tool for Computing Robust Attributions of DNNs.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Principal Component Flows.
Proceedings of the International Conference on Machine Learning, 2022

Trigger Hunting with a Topological Prior for Trojan Detection.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Dual-Key Multimodal Backdoors for Visual Question Answering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Shaping Noise for Robust Attributions in Neural Stochastic Differential Equations.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Introduction to the Special Issue on Artificial Intelligence and Cyber-Physical Systems: Part 1.
ACM Trans. Cyber Phys. Syst., 2021

Protein Folding Neural Networks Are Not Robust.
CoRR, 2021

Detecting OODs as datapoints with High Uncertainty.
CoRR, 2021

Online Defense of Trojaned Models using Misattributions.
CoRR, 2021

Are all outliers alike? On Understanding the Diversity of Outliers for Detecting OODs.
CoRR, 2021

Automated Synthesis of Quantum Circuits Using Symbolic Abstractions and Decision Procedures.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

On Smoother Attributions using Neural Stochastic Differential Equations.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

On Detection of Out of Distribution Inputs in Deep Neural Networks.
Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021

MISA: Online Defense of Trojaned Models using Misattributions.
Proceedings of the ACSAC '21: Annual Computer Security Applications Conference, Virtual Event, USA, December 6, 2021

2020
An Extension of Fano's Inequality for Characterizing Model Susceptibility to Membership Inference Attacks.
CoRR, 2020

Model-Centered Assurance for Autonomous Systems.
Proceedings of the Computer Safety, Reliability, and Security, 2020

On the Need for Topology-Aware Generative Models for Manifold-Based Defenses.
Proceedings of the 8th International Conference on Learning Representations, 2020

TrojDRL: Evaluation of Backdoor Attacks on Deep Reinforcement Learning.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Learning Certified Control Using Contraction Metric.
Proceedings of the 4th Conference on Robot Learning, 2020

Estimating the Density of States of Boolean Satisfiability Problems on Classical and Quantum Computing Platforms.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Explaining AI Decisions Using Efficient Methods for Learning Sparse Boolean Formulae.
J. Autom. Reason., 2019

TeLEx: learning signal temporal logic from positive examples using tightness metric.
Formal Methods Syst. Des., 2019

On Need for Topology Awareness of Generative Models.
CoRR, 2019

TrojDRL: Trojan Attacks on Deep Reinforcement Learning Agents.
CoRR, 2019

Attribution-driven Causal Analysis for Detection of Adversarial Examples.
CoRR, 2019

Attribution-Based Confidence Metric For Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Sherlock - A tool for verification of neural network feedback systems: demo abstract.
Proceedings of the 22nd ACM International Conference on Hybrid Systems: Computation and Control, 2019

Trust, Resilience and Interpretability of AI Models.
Proceedings of the Numerical Software Verification - 12th International Workshop, 2019

A Risk-Sensitive Finite-Time Reachability Approach for Safety of Stochastic Dynamic Systems.
Proceedings of the 2019 American Control Conference, 2019

Inferring and Conveying Intentionality: Beyond Numerical Rewards to Logical Intentions.
Proceedings of the Papers of the 2019 Towards Conscious AI Systems Symposium co-located with the Association for the Advancement of Artificial Intelligence 2019 Spring Symposium Series (AAAI SSS-19), 2019

2018
Safe Autonomy Under Perception Uncertainty Using Chance-Constrained Temporal Logic.
J. Autom. Reason., 2018

Trusted Neural Networks for Safety-Constrained Autonomous Control.
CoRR, 2018

Toward an Internet of Battlefield Things: A Resilience Perspective.
Computer, 2018

Learning Task Specifications from Demonstrations.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Output Range Analysis for Deep Feedforward Neural Networks.
Proceedings of the NASA Formal Methods - 10th International Symposium, 2018

Detecting Adversarial Examples Using Data Manifolds.
Proceedings of the 2018 IEEE Military Communications Conference, 2018


Duality-Based Nested Controller Synthesis from STL Specifications for Stochastic Linear Systems.
Proceedings of the Formal Modeling and Analysis of Timed Systems, 2018

Model, Data and Reward Repair: Trusted Machine Learning for Markov Decision Processes.
Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2018

Data Efficient Learning of Robust Control Policies.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

Learning and Verification of Feedback Control Systems using Feedforward Neural Networks.
Proceedings of the 6th IFAC Conference on Analysis and Design of Hybrid Systems, 2018

2017
Machine Learning and Formal Method (Dagstuhl Seminar 17351).
Dagstuhl Reports, 2017

Specification Inference from Demonstrations.
CoRR, 2017

Output Range Analysis for Deep Neural Networks.
CoRR, 2017

A theory of formal synthesis via inductive learning.
Acta Informatica, 2017

TeLEx: Passive STL Learning Using Only Positive Examples.
Proceedings of the Runtime Verification - 17th International Conference, 2017

On Learning Sparse Boolean Formulae for Explaining AI Decisions.
Proceedings of the NASA Formal Methods - 9th International Symposium, 2017

2016
Automated Synthesis of Safe Autonomous Vehicle Control Under Perception Uncertainty.
Proceedings of the NASA Formal Methods - 8th International Symposium, 2016

On Optimal Control of Stochastic Linear Hybrid Systems.
Proceedings of the Formal Modeling and Analysis of Timed Systems, 2016

On ∃ ∀ ∃! solving: A case study on automated synthesis of magic card tricks.
Proceedings of the 2016 Formal Methods in Computer-Aided Design, 2016

2015
Optimizing mobile display brightness by leveraging human visual perception.
Proceedings of the 2015 International Conference on Compilers, 2015

2014
Parameter discovery in stochastic biological models using simulated annealing and statistical model checking.
Int. J. Bioinform. Res. Appl., 2014

Discovering rare behaviours in stochastic differential equations using decision procedures: applications to a minimal cell cycle model.
Int. J. Bioinform. Res. Appl., 2014

Are There Good Mistakes? A Theoretical Analysis of CEGIS.
Proceedings of the Proceedings 3rd Workshop on Synthesis, 2014

Game theoretic secure localization in wireless sensor networks.
Proceedings of the 4th International Conference on the Internet of Things, 2014

CAPED: Context-aware personalized display brightness for mobile devices.
Proceedings of the 2014 International Conference on Compilers, 2014

2013
SWATI: Synthesizing Wordlengths Automatically Using Testing and Induction
CoRR, 2013

2012
Synthesis of insulin pump controllers from safety specifications using Bayesian model validation.
Int. J. Bioinform. Res. Appl., 2012

Parameter discovery for stochastic biological models against temporal behavioral specifications using an SPRT based Metric for simulated annealing.
Proceedings of the IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences, 2012

Decision procedure based discovery of rare behaviors in Stochastic Differential Equation models of biological systems.
Proceedings of the IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences, 2012

2011
Towards Automated System Synthesis Using SCIDUCTION.
PhD thesis, 2011

Synthesizing Switching Logic to Minimize Long-Run Cost
CoRR, 2011

Synthesis of loop-free programs.
Proceedings of the 32nd ACM SIGPLAN Conference on Programming Language Design and Implementation, 2011

Synthesis of optimal switching logic for hybrid systems.
Proceedings of the 11th International Conference on Embedded Software, 2011

2010
Oracle-guided component-based program synthesis.
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering, 2010

Synthesizing switching logic for safety and dwell-time requirements.
Proceedings of the ACM/IEEE 1st International Conference on Cyber-Physical Systems, 2010

Automating Security Mediation Placement.
Proceedings of the Programming Languages and Systems, 2010

2009
Statistical Analysis of Privacy and Anonymity Guarantees in Randomized Security Protocol Implementations
CoRR, 2009

On the Computational Complexity of Satisfiability Solving for String Theories
CoRR, 2009

Localizing transient faults using dynamic bayesian networks.
Proceedings of the IEEE International High Level Design Validation and Test Workshop, 2009

On voting machine design for verification and testability.
Proceedings of the 2009 ACM Conference on Computer and Communications Security, 2009

Beaver: Engineering an Efficient SMT Solver for Bit-Vector Arithmetic.
Proceedings of the Computer Aided Verification, 21st International Conference, 2009

2008
Random Relaxation Abstractions for Bounded Reachability Analysis of Linear Hybrid Automata: Distributed Randomized Abstractions in Model Checking.
Proceedings of the 11th IEEE High Assurance Systems Engineering Symposium, 2008

Randomization Based Probabilistic Approach to Detect Trojan Circuits.
Proceedings of the 11th IEEE High Assurance Systems Engineering Symposium, 2008

2007
Symbolic Reachability Analysis of Lazy Linear Hybrid Automata.
Proceedings of the Formal Modeling and Analysis of Timed Systems, 2007

2006
Adapting Biochemical Kripke Structures for Distributed Model Checking.
Trans. Comp. Sys. Biology, 2006


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