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Gagandeep Singh

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Formal Methods for Frontier AI SystemsPAgE 20262026-06-15
Claims a concrete verifier that computes the probability mass of unsafe outputs for a single prompt (not just samples), implements a token-tree/ frontier…
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Lumos: Let there be Language Model System CertificationPAgE 20262026-06-15
Lumos is a domain-specific language that encodes prompt distributions as text-rich graphs, samples random subgraphs via a subgraph sampling operator, templates…
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SAIL: Sound Abstract Interpreters with LLMsPLDI 20262026-06-15
Framework uses LLMs to synthesize globally sound abstract transformers by casting synthesis as a constrained optimization problem with a principled cost…
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Evolving Abstract Transformers for Gradient-Guided, Adaptable Abstract InterpretationPLDI 20262026-06-15
Proposes a general, parametric transformer that outputs a space of sound outputs (constructed by UPOSE) and then searches it with a differentiable AGG gradient…
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Automated Verification of Soundness of DNN CertifiersOOPSLA 20252025-10-16
Automates soundness checks for abstract-interpretation DNN certifiers by encoding certifier specs in the ConstraintFlow DSL, translating networks to a symbolic…
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Running DPDK on Non-Cache Coherent Platforms: Challenges and SolutionsDPDK Summit North America 20242024-09-24
Ports DPDK to NXP i.MX non-cache-coherent (NCC) platforms and shows DMA visibility breaks where 16-byte buffer descriptors (BDs) and packet buffers diverge…
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Optimizing IP Camera Streaming with DPDKDPDK Summit North America 20242024-09-24
Uses DPDK on an NXP i.MX8MP to map the ISP ISI frame buffer into userspace via a custom PMD and create a zero copy pipeline that packetizes camera lines into…
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Input-Relational Verification of Deep Neural NetworksPLDI 20242024-06-24
A verifier that reasons about multiple executions builds a DiffPoly abstract domain to track concrete and symbolic difference bounds layer by layer, produces…
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Abstract Interpretation for Automatic DifferentiationLAFI 20242024-01-14
Static analysis produces sound numeric bounds on derivatives computed by AD, using a synthesized abstract interpreter that encloses nonlinear patterns with a…
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Synthesizing Precise Static Analyzers for Automatic DifferentiationOOPSLA 20232023-10-23
Pasado synthesizes precise static analyzers that directly abstract the Chain Rule, Product Rule and Quotient Rule in automatic differentiation, producing a…
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Building Trust and Safety in Artificial Intelligence with Abstract InterpretationSAS 20232023-10-22
Abstract interpretation is used to certify and train DNNs so they generalize to infinite unseen inputs, with specific domains like DeepPoly and zonotopes and a…
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Incremental Verification of Neural NetworksPLDI 20232023-06-17
Complete, verifier-agnostic method IVAN reuses branch-and-bound work by saving a specification tree of partitioned subproblems and then avoids costly analyzer…
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Exploring Practical Vulnerabilities of Machine Learning-based Wireless SystemsNSDI 20232023-04-17
RAFA (RAdio Frequency Attack) implements a robust wireless UAP that models channel distortion and sample misalignment to craft over-the-air perturbations. A…
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Proof transfer for fast certification of multiple approximate neural networksOOPSLA 20222022-12-05
FANC generates templates—connected symbolic shapes at an intermediate layer—and a cheap template transformer that adapts those templates to approximate…
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Yes, you can use Python with RStudio Team!rstudio::conf(2022)2022-07-25
Builds an end-to-end bike-availability pipeline for Capital Bikeshare that actually runs: live API ingest, stored pins from R ETL, random-forest model wrapped…
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NFT - From Niche To Mass MarketAIBC Americas 20222022-06-06
Panel argues NFTs scale through concrete fixes: easier on-ramps (credit card / fiat purchases), interoperable standards and wallet integrations rather than a…
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PRIMA: General and Precise Neural Network Certification via Scalable Convex HullPOPL 20222022-01-16
PRIMA presents a verifier that computes scalable convex-hull abstractions for groups of neurons using a novel dual-space partial double description method and…
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A Dual Number Abstraction for Static Analysis of Clarke JacobiansPOPL 20222022-01-16
Paper presents a dual-interval abstract domain that lifts dual-number forward-mode differentiation to interval arithmetic and proves the transformer semantics…
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Yes, you can use Python with RStudio Team!rstudio::conf 20192019-01-15
Claim: Python runs end to end on RStudio Team by building a bikeshare forecast that reads a daily pin, trains a random forest, wraps the model with vetiver…
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