Paper downloading method: All papers exclude S&P 2018 can be - - PDF document

▶
paper downloading method all papers exclude s p 2018 can
SMART_READER_LITE
LIVE PREVIEW

Paper downloading method: All papers exclude S&P 2018 can be - - PDF document

Feb 15, 2024 267 likes •323 views

Paper downloading method: All papers exclude S&P 2018 can be found by Google Scholar. For those papers accepted by S&P 2018, you can download them from this website: https://www.computer.org/csdl/proceedings/sp/2018/4353/00/index.html

slide-1
SLIDE 1

Paper downloading method: All papers exclude S&P 2018 can be found by Google Scholar. For those papers accepted by S&P 2018, you can download them from this website: https://www.computer.org/csdl/proceedings/sp/2018/4353/00/index.html The below papers are published in the top security conferences within 2 years. You should better select your presentation paper from these

  • papers. If you select the paper outsides this list, please make sure this

paper has been published by our 1st and 2nd tier conferences within recent years. Topic 1: Electrical Cash

  • Nakamoto, Satoshi. Bitcoin: A Peer-to-Peer Electronic Cash System. 24 May 2009
  • ZEUS: Analyzing Safety of Smart Contracts. NDSS’18
  • Chainspace: A Sharded Smart Contracts Platform. NDSS’18
  • Settling Payments Fast and Private: Efficient Decentralized Routing for Path-

Based Transactions. NDSS’18

  • SmartPool: Practical Decentralized Pooled Mining. Usenix Security'17
  • REM: Resource-Efficient Mining for Blockchains. Usenix Security'17
  • Picking Up My Tab: Understanding and Mitigating Synchronized Token Lifting

and Spending in Mobile Payment. Usenix Security'17

  • Revive: Rebalancing Off-Blockchain Payment Networks. CCS’17
  • Concurrency and Privacy with Payment-Channel Networks. CCS’17
  • Bolt: Anonymous Payment Channels for Decentralized Currencies. CCS’17
  • Fairness in an Unfair World: Fair Multiparty Computation from Public Bulletin
  • Boards. CCS’17
  • On the Economics of Offline Password Cracking. S&P 2018

Topic 2: Smart Phone Security

  • Automated Analysis of Privacy Requirements for Mobile Apps, NDSS'17
  • How They Did It: An Analysis of Emission Defeat Devices in Modern

Automobiles, S&P’17

  • ABC: Enabling Smartphone Authentication with Built-in Camera. NDSS’18
slide-2
SLIDE 2
  • Finding Clues for Your Secrets: Semantics-Driven, Learning-Based Privacy

Discovery in Mobile Apps. NDSS’18

  • Mass Discovery of Android Traffic Imprints through Instantiated Partial
  • Execution. CCS’17
  • Unleashing the Walking Dead: Understanding Cross-App Remote Infections on

Mobile WebViews. CCS’17

  • The Rise of the Citizen Developer: Assessing the Security Impact of Online App

Generators S&P’18

  • Mobile Application Web API Reconnaissance: Web-to-Mobile Inconsistencies &

Vulnerabilities S&P’18

Topic 3: IoT Security I

  • Do You Feel What I Hear? Enabling Autonomous IoT Device Pairing using

Different Sensor Types. S&P’18

  • DolphinAttack: Inaudible Voice Commands, ACM CCS’17
  • Speechless: Analyzing the Threat to Speech Privacy from Smartphone Motion

Sensors, S&P’18

  • SmartAuth: User-Centered Authorization for the Internet of Things, Usenix

Security’17

  • Geosocial Query with User-Controlled Privacy. Wisec’17
  • An Autonomic and Permissionless Android Covert Channel. Wisec’17
  • Topic 4: IoT Security II
  • IoTFuzzer: Discovering Memory Corruptions in IoT Through App-based Fuzzing.

NDSS’18

  • Fear and Logging in the Internet of Things. NDSS’18
  • Decentralized Action Integrity for Trigger-Action IoT Platforms. NDSS’18
  • AWare: Preventing Abuse of Privacy-Sensitive Sensors via Operation Bindings.

Usenix Security’17

  • 6thSense: A Context-aware Sensor-based Attack Detector for Smart Devices.

Usenix Security’17

  • Coresident Evil: Noisy Vibrational Pairing in the Face of Co-located Acoustic
  • Eavesdropping. Wisec’17
  • YELP: Masking Sound-based Opportunistic Attacks in Zero-Effort
  • Deauthentication. Wisec’17

Topic 5: Adversarial ML/ML Privacy

  • Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks.
slide-3
SLIDE 3

NDSS’18

  • Trojaning Attack on Neural Networks. NDSS’18
  • Evading Classifiers by Morphing in the Dark. CCS’17
  • MagNet: a Two-Pronged Defense against Adversarial Examples. CCS’17
  • Machine Learning Models that Remember Too Much. CCS’17
  • Deep Models Under the GAN: Information Leakage from Collaborative Deep
  • Learning. CCS’17
  • Oblivious Neural Network Predictions via MiniONN transformations. CCS’17
  • Membership Inference Attacks against Machine Learning Models. S&P’17
  • SecureML: A System for Scalable Privacy-Preserving Machine Learning. S&P’17
  • Topic 6: Social Network Security
  • IVD: Automatic Learning and Enforcement of Authorization Rules in Online

Social Networks, oakland'17

  • Automated Crowdturfing Attacks and Defenses in Online Review Systems, ACM

CCS’17

  • Smoke Screener or Straight Shooter: Detecting Elite Sybil Attacks in User-

Review Social Networks, NDSS'18, 2018.

  • Inside Job: Applying Traffic Analysis to Measure Tor from Within. NDSS’18
  • Practical Attacks Against Graph-based Clustering. CCS’17
  • POISED: Spotting Twitter Spam Off the Beaten Paths. CCS’17

Topic 7: Mobile Advertisement Security

  • Investigating Ad Transparency Mechanisms in Social Media: A Case Study of

Facebooks Explanations, NDSS’18, 2018

  • Exploring User Perceptions of Discrimination in Online Targeted Advertising.

Usenix Security’18

  • Privacy Risks with Facebook's PII-based Targeting: Auditing a Data Broker's

Advertising Interface. S&P’18

  • Are these Ads Safe: Detecting Hidden Attacks through the Mobile App-Web

Interfaces, NDSS 2016

  • The Price of Free: Privacy Leakage in Personalized Mobile In-Apps Ads,

NDSS’16

  • What Mobile Ads Know About Mobile Users, NDSS’16
  • Tracing Information Flows Between Ad Exchanges Using Retargeted Ads, Usenix

Security'16

Topic 8: Cloud Security

  • SoK: Cryptographically Protected Database Search, S&P'17
slide-4
SLIDE 4
  • TenantGuard: Scalable Runtime Verification of Cloud-Wide VM-Level Network

Isolation, NDSS'17

  • Reduced Cooling Redundancy: A New Security Vulnerability in a Hot Data
  • Center. NDSS’18
  • OBLIVIATE: A Data Oblivious Filesystem for Intel SGX. NDSS’18
  • Cloud Strife: Mitigating the Security Risks of Domain-Validated Certificates.

NDSS’18

  • Proofs of Data Residency: Checking whether Your Cloud Files Have Been
  • Relocated. AsiaCCS’17
  • DoS Attacks on Your Memory in the Cloud. AsiaCCS’17
  • Cache-based Application Detection in the Cloud using Machine Learning.

AisaCCS’17

Topic 9: TLS/SSL security

  • Removing Secrets from Android’s TLS. NDSS’18
  • Stacco: Differentially Analyzing Side-Channel Traces for Detecting SSL/TLS

Vulnerabilities in Secure Enclaves. CCS’17

  • A Comprehensive Symbolic Analysis of TLS 1.3. CCS’17
  • Verified Correctness and Security of mbedTLS HMAC-DRBG. CCS’17
  • Implementing and Proving the TLS 1.3 Record Layer. S&P’17
  • HVLearn: Automated Black-box Analysis of Hostname Verification in SSL/TLS
  • Implementations. S&P’17
  • A Formal Treatment of Accountable Proxying over TLS. S&P’18

Topic 10: Side Channel

  • Privacy Threats through Ultrasonic Side Channels on Mobile Device, EURO

S&P’17

  • EyeTell: Video-Assisted Touchscreen Keystroke Inference from Eye Movements ,

S&P’18

  • AutoLock: Why Cache Attacks on ARM Are Harder Than You Think. Usenix

Security’17

  • Precise Detection of Side-Channel Vulnerabilities using Quantitative Cartesian

Hoare Logic. CCS’17

  • Watch Me, but Don't Touch Me! Contactless Control Flow Monitoring via

Electromagnetic Emanations. CCS’17

  • Viden: Attacker Identification on In-Vehicle Networks. CCS’17