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Greening the Economy: Sustainable Cities
Introduction to Graphic Illustration
Computational Social Science Methods
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Explore constant-round argument systems for log-space uniform circuits, achieving almost-linear verification time using only one-way functions, advancing cryptographic protocol efficiency.
Explore key assumptions in cryptography and complexity theory through an expert panel discussion, delving into minimal complexity requirements for cryptographic systems.
Exploring connections between Indistinguishability Obfuscation and Minimum Circuit Size Problem, revealing implications for cryptography and computational complexity theory.
Explores obfuscation's role in theoretical computer science, covering Circuit Range Avoidance, metacomplexity of Kolmogorov complexity, and computational differential privacy, with focus on recent results and open questions.
Explore minimal complexity assumptions for cryptography, focusing on obfuscation techniques and their applications in secure system design.
Explore minimal complexity assumptions in cryptography, focusing on fine-grained approaches that provide strong guarantees against restricted adversarial classes.
Explores limitations and cryptographic requirements for distributed differential privacy in two-party functions like inner product and Hamming distance, with implications for data analysis and privacy.
Explore how computational limitations and cryptographic tools can bypass impossibility results in communication complexity and streaming, with examples and open problems discussed.
Explores novel approaches in zero-knowledge proofs, focusing on transforming NIZK to ZAPs with inefficient provers. Discusses implications for cryptographic assumptions and fine-grained complexity settings.
Explores unstructured hard languages in NP ∩ coNP, providing evidence for their existence and introducing a new NIZK proof construction, advancing understanding of computational complexity and cryptography.
Explore the concept of universal arguments and their construction for non-deterministic computations, focusing on recent developments in non-interactive succinct arguments and their universality.
Explore fully-local SSB hash families and their applications in cryptography, including multi-hop aggregate signatures and incrementally verifiable computation.
Explore groundbreaking constructions of SNARGs and correlation-intractable hash functions based on sub-exponential DDH, achieving poly-logarithmic proof sizes for Batch-NP and P.
Explore minimal complexity assumptions in cryptography, focusing on proof systems and their applications in secure computation and blockchain technology.
Innovative approaches to scale human intelligence and education in the era of AI, drawing from game theory and real-world problem-solving experiences across mathematics, pandemic control, and live math education.
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