1. On Black-Box Separations in Cryptography Omer Reingold Closed captioning and other considerations provided by Tal Malkin, Luca Trevisan, and Salil Vadhan

2. Crypto - The Merry Old Days

3. Identification Digital Signatures Cryptographic Protocols, Primitives, and Assumptions Encryption Electronic Voting Electronic Commerce One-Way Functions Pseudo-Random Generators Trapdoor Permutations Factoring RSA DDH Oblivious Transfer Strong RSA Dense Crypto System Homomorphic Encryption UOWHFs ID Based Encryption PIRs

4. Determining The Relationships Among Different Primitives Most tasks in complexity-based crypto imply P NP (or even OWF). Simplify our conception of the world. Construct protocols with as strong security guarantee as possible. Reductions: Given any implementation of primitive A, construct implementation of primitive B.

5. OWF PRG PRF MACENC COM ZK ID UOWHF SIG TDP PKEOT KA CCA-PKE CLAW-FREE CF-HASH Some Known Reductions NIZK

6. Are All Crypto Primitives Equivalent? If so: either no cryptography or Cryptomania! But some tasks seem significantly harder than others (e.g. private key vs. public key encryption). In what sense can we claim that primitive A does not imply primitive B if we believe that both exist? After all, a reduction of B to A can ignore A and build B from scratch...

7. Black-Box Separations – Where it Begun Impagliazzo-Rudich [89] While not clear how to formalize/show non-implications in general can do that wrt black-box reductions.

8. (Fully) Black-Box Reductions Given a black-box implementation for primitive A, construct implementation of primitive B. A B Usually, still not structured enough to rule out: Need black-box proof of security (several flavors). Adv. for B Adv. for A A Such fully black-box reductions relativize (hold relative to every oracle).

9. What's not Black Box? No idea … ask Boaz … Oh well … Cook-Levin reduction is used in: OWF ZK proofs for all NP [GMW91] Non–BB carries on to applications: –Semi-honest OT malicious OT [ GMW87] –OWF ID schemes [FFS88] Similarly, circuit of f used in secure computation of f. [Yao86,GMW87] –[Beaver96] Few OTs + OWF -> Many OTs Baraks Non-BB ZK and subsequent results. Use both old and new non-bb techniques.

10. What do Black-Box Separations Mean? This talk will concentrate on mathematical rather than philosophical meaning. Still … Few Non black-box techniques (and in limited settings). Inherent limitation on efficiency. Therefore, black-box separations are explanation/indication for the hardness of finding reduction (esp. efficient ones). BB-reductions more robust – work wrt. physical implementations of primitives.

11. What do Black-Box Separations Mean? Insight into the relevant primitives. Guidance for non black-box reductions or even for black-box reductions. (Sometimes most meaningful when looking inside the box.) Analogy from complexity: A Cook/Karp reduction of problem A to problem B is a black-box proof that B P A P. SAT P QBF 2 P true but inherently non-BB (QBF 2 is quantified Boolean formula with 2 alternations).

12. What do Black-Box Separations Mean? Insight into the relevant primitives. Guidance for non black-box reductions or even for black-box reductions. (Sometimes most meaningful when looking inside the box.) Examples from cryptography: TDP seems to be of different complexity than OWF. [IR89] supports. Collision resistant hashing might have seemed similar in nature to OWFs. [Simon98] challenged (this is consistent with recent cryptanalysis attacks against popular hash functions).

13. What do Black-Box Separations Mean? Insight into the relevant primitives. Guidance for non black-box reductions or even for black-box reductions. (Sometimes most meaningful when looking inside the box.) Guidance for black-box constructions? Particular construction cannot be proved in BB? May be easier to change the construction than overcome the obstacle. Examples: –Want to reduce Stat-Commit to OWF? Probably not a good approach: Stat-Commit -> OWP -> OWF. –[Myers 04], shows no BB proof for one particular natural construction (static to adaptive security).

14. What do Black-Box Separations Mean? Insight into the relevant primitives. Guidance for non black-box reductions or even for black-box reductions. (Sometimes most meaningful when looking inside the box.) Word of warning: Potentially, a non black-box proof may follow a black-box approach most of the way with a small non black-box fix.

15. Black-Box and Oracle Separations [IR89] there exists an oracle relative to which one-way function exists but key- agreement does not: No fully black-box reduction of key- agreement to one-way function. Many other BB separations/lower bounds [Rud91,Sim98,KST99,KSS00,GKM+00,GT00, GMR01,CHL02,...] –Various notions of BB reductions, in particular not always implying oracle separation (e.g. [ GMR01]).

16. Crypto After IR (Impagliazzos Worlds) Trapdoor Permutation Public Key Encryption Key Agreement Secure Multi-Party Computation (OT) Private Key Encryption One Way Functions Digital Sig. Pseudorandom Generators Algoritmica, Heuristica, Pessiland Not even an hierarchy of problems [GKMVR00]

17. This Talk [IR89]: The separation, its proof and interpretation of results. As many separations and proof intuitions. Focus on techniques and subtleties. Beware: some cheating involved

18. The Impagliazzo-Rudich Results Thm: If P=NP, Key Agreement ( KA ) is impossible in the Random Oracle model: KA (Alice,Bob) Eve, for random permutation f, Eve f breaks (Alice f,Bob f ) Cor 1: There is an oracle relative to which OWP exists and KA does not. The oracle: (f, PSPACE) since P PSPACE =NP PSPACE Cor 2: There is no fully-BB reduction from KA to OWP. Cor 3: …

19. [IR89] - Why f is OWP Intuitively obvious: when trying to invert f on some y= f (x), have no chance unless accidentally query f on x. With q queries chances for that < 2q/2 n More formally: M making q queries, n-bit y Pr f [M f (y) = f - 1 (y)] < (2q+2)/2 n Fix n, by Markov Pr f { Pr y [M f (y) = f - 1 (y)] > n 2 (2q+2)/2 n } < 1/n 2 M, with prob. 1 over f Pr y [M f (y) = f - 1 (y)] > n 2 (2q+2)/2 n only finitely often …. With prob. 1 over f, M …

20. Why f is OWP Against Circuits Too many circuit families for uniform argument (not enumerable). [GT00]: f is exponentially hard even against circuits. High level idea: Consider C that makes q queries and -inverts f. C gives some non-trivial information on f a compact description of f, relative to C. Loosely, the description of f contains two carefully chosen subsets X and Y and f | {0,1} n \X –f (X)=Y. –Y contains 1/q frac. of ys on which C inverts. –X and Y allow reconstruction of f |X. Setting parameters correctly: #descriptions << (2 n )! C only -invert exp. small fraction of the f s.

21. [IR89] – How Eve Finds the Secret Recall, we assume P=NP, and want to show that Eve f breaks (Alice f,Bob f ). P=NP implies that without f no cryptographic hardness. In particular, no KA ! In fact, for the purpose of oracle separation, we can essentially assume Eve, Alice and Bob are all powerful and only bounded by number of queries to f. In this setting, a clear characterization of knowledge: The queries made to f and its answers.

22. [IR89] – How Eve Finds the Secret Cont. If s is the key agreed by Alice and Bob, assume wlog that both parties query f on s. Therefore s is anintersection query. Enough that Eve finds all likely intersection queries. Eves algorithm (over simplified): Let T be the transcript of (Alice f,Bob f ), let L be a list of queries and answers to f (initially empty). Repeat polynomial number of times: –Simulate: sample a random view of Alice which is consistent with T and L. –Update: Repeat all the simulated queries Alice makes, but this time to real f. Insert to L. Output a random query from L.

23. [IR89] – How Eve Finds the Secret Cont. Eves algorithm (over simplified): Let T be the transcript of (Alice f,Bob f ), let L be a list of queries and answers to f (initially empty). Repeat polynomial number of times: –Simulate: sample a random view of Alice which is consistent with T and L. –Update: Repeat all the simulated queries Alice makes, but this time to real f. Insert to L. Output a random query from L. Intuition: Whenever simulated Alice is consistent with real Bobs view, simulated Alice has a fair chance to query s. Any inconsistency reveals one of Bobs queries. This can happen only polynomial number of times.

24. [IR89] Results – Revisited Thm: If P=NP, Key Agreement ( KA ) is impossible in the Random Oracle model. Cannot get a more natural and meaningful separation. How can a reduction overcome this separation? Traditional interpretation: to overcome the separation the construction of KA must use code of OWP. [RTV04] shows that there is no limitation in using OWP as a black box in construction of KA. Separation might be overcome using code of adversary in proof of security (as in [Bar01,Bar02]).

25. Taxonomy of Black-Box Reductions I (the case OWF ) KA ) [RTV04] Black-box implementation: eff. (Alice, Bob) s.t. OWF f (Alice f,Bob f ) is a secure KA. Proof of security: Eve breaking (Alice f,Bob f ) ) Adv inverting f Fully-BB reduction: eff. Adv Eve (even not eff) [ Eve breaks (Alice f,Bob f ) ) Adv f, Eve inverts f ] Semi-BB reduction: eff Eve eff. Adv [ Eve f breaks (Alice f,Bob f ) ) Adv f inverts f ] [IR89] No relativizing, thus also No Fully; If P=NP no Semi f (Alice, Bob)

26. Semi-BB vs. Relativizing Fully-BB reduction: eff. Adv Eve (even not eff) [ Eve breaks (Alice f,Bob f ) ) Adv f, Eve inverts f ] Semi-BB reduction: eff Eve eff. Adv [ Eve f breaks (Alice f,Bob f ) ) Adv f inverts f ] [IR89] No relativizing, thus also No Fully; If P=NP no Semi Semi: BB implementation with arbitrary pf of security? No - [RTV04] No relativizing ) No Semi Pf idea: can embed into f an arbitrary oracle, in particular can embed Eve. Embedding technique due to [Sim98]

27. Semi-BB vs. Relativizing Semi-BB reduction: eff Eve eff. Adv [ Eve f breaks (Alice f,Bob f ) ) Adv f inverts f ] [RTV04] No relativizing ) No Semi Pf sketch: –Let O be oracle s.t. 9 OWF g and no KA –Define –Every (Alice f,Bob f ) can be broken in PPT f, but f cannot be inverted in PPT f ) no semi-BB reduction

28. Taxonomy II – BB Implementation with Free Proof of Security Fully-BB reduction: eff. Adv Eve (even not eff) [ Eve breaks (Alice f,Bob f ) ) Adv f, Eve inverts f ] Semi-BB reduction: eff Eve eff. Adv [ Eve f breaks (Alice f,Bob f ) ) Adv f inverts f ] Mildly-BB reduction: eff Eve eff. Adv [ Eve breaks (Alice f,Bob f ) ) Adv f inverts f ] Now Eve is really efficient. Fully-BBRelativizingSemi-BBMildly-BB Free Fully-BBRelativizingSemi-BBMildly-BB Free

29. The Power of Mildly-BB Mildly-BB reduction: eff Eve eff. Adv [ Eve breaks (Alice f,Bob f ) ) Adv f inverts f ] Only Mildly-BB separations are about efficiency of reductions [GT00,GGK03]. Thm: 9 OWF ) 9 KA if and only if there is a mildly-BB reduction from KA to OWF. Conclusion: the restriction is in BB proof of security rather than in BB implementation. Fully-BB RelativizingSemi-BBMildly-BB Free

30. The Power of Mildly-BB Mildly-BB reduction: eff Eve eff. Adv [ Eve breaks (Alice f,Bob f ) ) Adv f inverts f ] Thm: 9 OWF ) 9 KA if and only if there is a mildly-BB reduction from KA to OWF. Pf sketch: Given OWF oracle f (against PPT f ), construct secure KA (against PPT). Case I: 9 KA –Construction ignores oracle, just executes secure KA Fully-BBRelativizingSemi-BBMildly-BB Free

31. The Power of Mildly-BB Mildly-BB reduction: eff Eve eff. Adv [ Eve breaks (Alice f,Bob f ) ) Adv f inverts f ] Thm: 9 OWF ) 9 KA if and only if there is a mildly-BB reduction from KA to OWF. Pf sketch: Given OWF oracle f (against PPT f ), construct secure KA (against PPT). Case II: No KA and therefore no OWF –Every function easy to compute is easy to invert. ) Oracle- OWF f must be hard to compute. –KA protocol: Alice sends random ( x, r ), agree on h f ( x ), r i Fully-BBRelativizingSemi-BBMildly-BB Free

32. OWF vs. OWP [IR,KSS00] Random Oracle separates OWF from OWP. A much simpler argument for weaker result: Thm. G f is a permutation for every function f For all f can invert G f (using a PSPACE-complete oracle). Adv algorithm on input y= G f (x): Let L be a list of queries and answers to f (initially empty). Repeat polynomial number of times: –Simulate: generate some f and x such that f is consistent with L and y= G f (x). –Update: Repeat all the simulated queries of G f (x) but this time to real f. Insert to L. Output last x. Correctness: If x x then the evaluations G f (x) and G f (x) must reveal a new inconsistency of f and f.

33. OWF vs. OWP Cont. Where is the weakness? To argue that G is insecure we assumed it is correct: G f is a permutation for every function f. Is this legitimate?

34. More on Relatevizing vs. BB Reductions In some scenarios (e.g. KA -> OWF), No relativizing reduction, No fully-BB reduction. Not always: Consider the construction of Trapdoor (poly-1) Functions from PKE. –[BHSV98] gives a construction in the random oracle model. Hard to come up with an oracle separation (as the oracle may potentially be used for BHSV-transformation). –[GMR01] solves it by showing for any particular construction an oracle that foils it (rather than giving one oracle that foils all constructions). [Myers04] takes it further, considers one specific (but very natural) construction and gives an oracle that foils it. Are we happy/unhappy with this?

35. [Rudich91]: Hard to Reduce Interaction [Rud 91] Separate k-message KA from (k-1)-message KA. For k=3 oracle O contains: f 1, f 2, f 3, length tripling random functions, R defined below, П - PSPACE complete. 3 KA : On an incorrect input R outputs a random string. Bob s Alice z,r z = R (s,m 3 ) m 1 =f 1 (z,r) m 2 =f 2 (s,m 1 ) m 3 =f 3 (z,r,m 2 ) z

36. [Rud91]: No 2-KA ( PKE) relative to O Without R no KA [IR89] Let (Alice,Bob) be two message protocol. Assume Alice makes a useful query R (s,m 3 ). –(s,m 3 ) is a correct input to R must have been created by 3 correct consecutive invocations either Alice or Bob must already know z,r,s. –If its Alice, R is not needed. –Otherwise, Eve can also know (s,m 3 ) and apply R. Bob s Alice z,r z = R (s,m 3 ) m 1 =f 1 (z,r) m 2 =f 2 (s,m 1 ) m 3 =f 3 (z,r,m 2 ) z

37. How do we define BB access to a protocol? In [Rudich91] and most subsequent works this means black-box access to the message and output functions of the parties. Can consider a more restricted notion where the access is to a third party implementing the functionality. (Closer in spirit to a physical implementation). May make arguments much simpler but need to be careful. For example OT in this model does not imply OWF. Other possible formalizations in between [HKNRR05]

38. OWF vs. Collision Resistant Hashing [Simon98] gives an oracle separating the two. Here Simon Light: In particular, consider only regular hash functions (every image has the same number of preimages). –Regular coll. resistant implied by claw-free permutations. Oracle: f - random functions, П - PSPACE complete, and Q on input circuit C defined as follows: If C g is regular for every function g then Q outputs uniformly selected x and x such that C f (x) = C f (x). Note: relative to this oracle may have collision- resistant hash functions (using Q itself). [Simon98] handles this case as well.

39. OWF vs. Collision Resistant Hashing Cont. Oracle: f - random functions, П - PSPACE complete, and Q on input circuit C defined as follows: If C g is regular for every function g then Q outputs uniformly selected x and x such that C f (x) = C f (x). Proof intuition: Assume want to find f - 1 (y). Due to universal regularity, the only information given by x and x are the values of f queried by the evaluations C f (x), and C f (x). As long as none of these queries is f - 1 (y) not much help. By regularity, x and x are each uniformly distributed (though they are correlated). By union bound, only negligible chance to encounter f - 1 (y).

40. Limitation On Efficiency This line considers the most efficient (black-box) construction (rather than the minimal assumption necessary) [KST99,GT00, GGK03]. Example: OWP PRG. Thm [GT00] PRG that expands the seed by k bits requires (k/s) invocations of the OWP (where s is the security parameter of the OWP). PRGseed m bits f output m+k bits

41. Limitation On Efficiency Cont. Thm [GT00] PRG that expands the seed by k bits requires (k/s) invocations of the OWP (where s is the security parameter of the OWP). Idea: Define f(w,z)=g(w),z, where w is O(s)-bit long and g is random Each invocation only gives O(s) bits of randomness Can simulate f using randomness from the seed. PRGseed m bits f output m+k bits

42. Concluding Remarks Many more beautiful arguments we did not touch! BB separations - a useful research tool. The extent to which the proof of security is black-box plays a major role. Definitions are subtle, need to make sure we understand the mathematical/philosophical meaning of what we prove.

43. Some Open Problems More Non black-box techniques. Can we Razborov-Rudich Impagliazzo- Rudich ? Power of reductions that use code of primitive but are BB wrt adversary?

44. [ GKMVR00 ] incomparability of PKE and OT OT PKE by an extension of [Rud91]. PKE OT by oracle containing: f 1, f 2, R, П, (similar to [Rud91]) to allow PKE. But with a small twist… Bob z,s Alice r z m 1 =f 1 (r) m 2 =f 2 (z,s,m 1 ) z = R (r,m 2 ) Important: define f 2 and R to output on incorrect inputs (sort of validity tests) Prevent this specific key agreement from being fakable, and turns out to be sufficient.